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Newer page: version 2 Last edited on 15 March 2018 18:02 by Emilio Martinez Nuñez
Older page: version 1 Last edited on 15 March 2018 17:34 by Emilio Martinez Nuñez Revert
@@ -1,1842 +1 @@
-  
-'''tsscds2018'''  
-  
-  
-'''transition state search using chemical dynamics simulations'''  
-  
-  
-'''Main'''''' developer:'''  
-  
-  
-Emilio  
-Martínez-Núñez  
-  
-  
-Departamento  
-de Química Física, Facultade de Química<br>  
-Avda. das Ciencas s/n  
-  
-  
-15782  
-Santiago de Compostela, SPAIN  
-  
-  
-emilio.nunez@usc.es  
-  
-  
-'''With contributions from:'''  
-  
-  
-George L.  
-Barnes, Aurelio Rodríguez, Roberto Rodríguez-Fernández, James J. P. Stewart and  
-Saulo A. Vázquez  
-  
- <br>  
-'''Contents'''  
-  
-  
- [[1.      Introduction   3]]  
-  
-  
-[[2.      How to cite the program    4]]  
-  
-  
-[[3.      Installation   5]]  
-  
-  
-[[4.      How to start using the program    7]]  
-  
-  
-[[5.      Finding reaction mechanisms and solving the kinetics  8]]  
-  
-  
-[[a)      Description of the input files  9]]  
-  
-  
-[[b)     Running the dynamics in a single processor  12]]  
-  
-  
-[[c)      Running the dynamics in multiple processors  13]]  
-  
-  
-[[d)     Analyzing the dynamics results  14]]  
-  
-  
-[[e)     Running all low-level calculations using a single script  15]]  
-  
-  
-[[f)      Running the high-level calculations  16]]  
-  
-  
-[[g)      Aborting tsscds calculations  17]]  
-  
-  
-[[h)     Directory tree structure of the working directory  17]]  
-  
-  
-[[i)       Relevant information   18]]  
-  
-  
-[[j)       Details of the kinetics simulations  21]]  
-  
-  
-[[6.      Other capabilities  23]]  
-  
-  
-[[a)      Association complexes  23]]  
-  
-  
-[[b)     Advanced options  24]]  
-  
-  
-[[c)      Biased dynamics  26]]  
-  
- '''<br> '''  
-= 1. Introduction =  
-  
-The  
-tsscds2018 program package has been designed to discover reaction mechanisms  
-and solve the kinetics in an automated fashion, using chemical dynamics  
-simulations. The basic idea behind this program is to obtain transition state  
-(TS) guess structures from trajectory simulations performed at very high  
-energies or temperatures. From the obtained TS structures, minima and product  
-fragments are determined following the intrinsic reaction coordinate (IRC). Then,  
-with all the stationary points, the reaction network is constructed. Finally,  
-the kinetics is solved using the Kinetic Monte Carlo (KMC) method.  
-  
-  
-The  
-program is interfaced with MOPAC2016 and Gaussian 09 (G09), but work is in  
-progress to incorporate more electronic structure programs.  
-  
-  
-This  
-tutorial is thought to guide you through the various steps necessary to predict  
-reaction mechanisms and kinetics of unimolecular decompositions. To facilitate  
-the presentation, we consider, as an example, the decomposition of formic acid  
-(FA). The present version of the program can also be used to study homogeneous  
-catalysis, but additional refinements are needed to make the code more general  
-and user-friendly. This capability will be fully incorporated and described in  
-the next released. Users are encouraged to read reference [[1]] before using  
-the tsscds2018 package.  
-  
-  
-The  
-present version has been tested on CentOS 7, Red Hat Enterprise Linux and  
-Ubuntu 16.04.3 LTS. If you find a bug, please report it to the main developer (emilio.nunez@usc.es).  
-Comments and suggestions are also welcome.   
-  
- <br>  
-= 2. How to cite the program =  
-  
-Publications  
-showing results obtained with the tsscds2018 package should include  
-the following references:  
-  
-  
-1)  
-Martinez-Nunez, E. ''Phys. Chem. Chem. Phys. ''2015, ''17'', 14912–14921; Martinez-Nunez, E. ''J. Comput. Chem.''  
-2015, ''36'', 222–234.  
-  
-  
-2)  
-MOPAC2016, Version: 16.307, James J.  
-P. Stewart, Stewart Computational Chemistry, web-site: HTTP://OpenMOPAC.net.  
-  
- <br>  
-= 3. Installation =  
-  
-Untar and unzip the file tsscds-SOURCE-2018.tar.gz:  
-  
-  
-tar xvfz tsscds-SOURCE-2018.tar.gz  
-  
-  
-Before installing tsscds2018, the following  
-packages must be installed in your Linux distribution:  
-  
-  
-'''Environment Modules'''  
-  
-  
-'''G09'''  
-  
-  
-'''gawk'''  
-  
-  
-'''GNU Parallel'''  
-  
-  
-'''Python2''' (with '''Numpy''' and '''Scipy''' libraries)  
-  
-  
-'''SQLite3'''  
-  
-  
-'''Zenity''' (version 3)  
-  
-  
-Once the  
-above packages are installed, go to the tsscds-SOURCE-2018 folder to configure  
-and install the package:  
-  
-  
-cd tsscds-SOURCE-2018  
-  
-  
-./configure  
-  
-  
-This will  
-install tsscds2018 in $HOME/tsscds-2018 by default. If you want to install it  
-in a different directory, type:  
-  
-  
-./configure  
---prefix=path_to_program  
-  
-  
-Finally, complete the installation:  
-  
-  
-make  
-  
-  
-make install  
-  
-  
-make clean  
-  
-  
-The last command  
-(make clean) is only necessary if you want to remove from the src directory the object files and executables created in  
-the compilation process.  
-  
-  
-For  
-convenience, and once “'''Environment  
-Modules'''” has been installed, you can add to your ''.bashrc''  
-file the following line to use the tsscds module:  
-  
-  
-module use path_to_program/modules  
-  
-  
-where path_to_program is the path where you intend to install tsscds (e.g., $HOME/tsscds-2018). You will also need G09 to  
-run the high-level calculations, which should be run as:  
-g09&lt;input&gt;output.  
-  
- <br>  
-= 4. How to start using the program =  
-  
-To  
-start using any of the scripts described below, you have to  
-load the tsscds/2018 module:  
-  
-  
-module load tsscds/2018  
-  
- '''<br> '''  
-= 5. Finding reaction mechanisms and solving the kinetics =  
-  
-The  
-first step in our strategy for finding reaction mechanisms involves running  
-classical trajectories, using the MOPAC2016 program,[[2]]  
-which contains several semiempirical Hamiltonians. The  
-trajectories sample the potential energy surface at the selected semiempirical level (the default is PM7), and the tsscds2018  
-program locates transition states by using the bond breaking/formation search  
-(BBFS) algorithm described in the tsscds papers.[[1]] Then,  
-reactants and products connected by the transition states (TSs) are obtained by  
-intrinsic reaction coordinate (IRC) calculations. Finally, a reaction network  
-is constructed with all the elementary reactions predicted by the program. To  
-increase the efficacy of the tsscds2018 program, this process may be carried  
-out in an iterative fashion as described in reference [[1a]].  Once the reaction network has been predicted  
-at the semiempirical level, the user can calculate  
-rate constants for all the elementary reactions and run Kinetic Monte Carlo  
-(KMC) calculations to predict the time evolution of all the chemical species  
-involved in the global reaction mechanism and to calculate product ratios.  
-  
-  
-All  
-the above steps can be run in an automatic fashion, using a single script as described  
-below. However, the tsscds2018 package allows you the possibility to run the  
-steps separatelly. This is important for checking  
-purposes and, particularly, for the screening of structures, since you may need  
-to adjust the screening parameters to your system (see below).  
-  
-  
-In  
-a subsequent step, the collection of TSs located at the semiempirical  
-level are reoptimized using a higher level of electronic structure theory. Notice  
-that, depending on the selected level of theory, the total number of reoptimized  
-TSs may differ from that obtained with the semiempirical  
-Hamiltonian. For each reoptimized TS, IRC calculations are performed to obtain the  
-associated minima (reactant and products). The reaction network is then constructed  
-for the high level of theory. As for the low-level  
-computations, the last step involves the calculation of rate constants and  
-product ratios. As detailed below, all the high-level steps can be run  
-separately, employing different scripts, or in an automatic way, using a single  
-script.  At present, all the high-level  
-electronic structure calculations are performed with the G09 program.  
-  
-  
-To  
-follow the guidelines of this tutorial, you can try the formic acid (FA) test  
-case that comes with the distribution. Make a working directory and copy files ''FA.dat'' and ''FA.xyz'' from path_to_program/examples  
-to your working directory. All the scripts described below (except select.sh) must be run in your working directory.  
-  
-  
-'''CAVEAT:  
-'''use short names for the working directory and the  
-input files. Otherwise, there may be crash problems.  
-  
-  
-== a) Description of the input files ==  
-  
-To  
-run the tsscds2018 program, the user only needs two files:    
-  
-  
-'''i)  
-''''''''molecule.xyz''''' (''FA.xyz'' in our  
-example). Here ''molecule'' is the name  
-of our system (FA in this case) This file contains the Cartesian coordinates of  
-the system, usually the most stable conformer of the reactant molecule (for  
-unimolecular decomposition).  
-  
-  
-'''ii)  
-''''''''molecule.dat''''' (''FA.dat'' in our example). This file contains all parameters of  
-the calculation and has different sections, which are explained as follows.  
-  
-  
-'''General section. '''In this  
-section, the user provides keywords for all the electronic structure calculations.  
-In our example, this section reads  
-  
-  
---General section--  
-  
-  
-molecule FA  
-  
-  
-HighLevel b3lyp/6-31G(d,p)  
-  
-  
-HL_rxn_network complete  
-  
-  
-charge  
-  
-  
-mult 1  
-  
-  
-The  
-following keywords can be used in this section:  
-  
-  
-'''''molecule''''': refers  
-to the name of the system. In our example, we used the name “FA”. The Cartesian  
-coordinates of the molecule must be specified in a file named ''FA.xyz'', which must  
-be located in the working directory. We notice that  
-the tsscds2018 scripts use case-sensitive filenames.  
-  
-  
-'''''LowLevel''''': is  
-any of the semiempirical methods implemented in  
-MOPAC2016. PM7 is the default method (you do not need to specify it). You can  
-use a combination of MOPAC keywords. For instance, PM7 singlet excited state calculations  
-can be run using:  
-  
-  
-LowLevel pm7 singlet cis c.i.=6 root=2 meci  
-  
-  
-'''''Highlevel''''':  
-indicates the level of theory employed in the high-level calculations described  
-in section 7. You can employ a dual-level approach, which includes a higher  
-level to refine the energy, as shown in the following example:  
-  
-  
-HighLevel ccsd(t)/6-311+G(2d,2p)//b3lyp/6-31G(d,p)  
-  
-  
-Supported  
-methods are HF, MP2 and DFT for geometry optimizations and HF, MP2, DFT and  
-CCSD(T) for single point energy calculations.  
-  
-  
-'''''HL_rxn_network''''':  
-is used to specify whether or not all the TSs located  
-at the low level (e.g., PM7) will be reoptimized at the high level. The option ''complete'' indicates that all the TSs will  
-be reoptimized. Alternatively, you may use the option ''reduced''. This eliminates a series of TSs, as explained below.  
-  
-  
-'''''charge''''':  
-is the charge of the system.  
-  
-  
-'''''mult''''':  
-is the multiplicity of the system.  
-  
-  
-'''CAVEAT: '''all the  
-keywords are case sensitive.  
-  
-  
-'''CDS (Chemical Dynamics Simulations) section''''''. '''Here the user  
-provides details of the accelerated dynamics simulations. In our example, we  
-have  
-  
-  
---CDS  
-section--  
-  
-  
-sampling  
-microcanonical  
-  
-  
-ntraj  
-10  
-  
-  
-The  
-most important keywords available for this section are detailed as follows.  
-  
-  
-'''''sampling''''': This  
-keyword has four different options: ''microcanonical'', ''canonical'', ''association'' and ''external'''''. '''The options ''microcanonical'' and ''canonical''  
-refer to the type of initial conditions used to run classical trajectories. Both  
-options are equally recommended. The canonical sampling allows the user to  
-include partial constraints in the trajectories, which may be useful for large  
-systems (see the “advanced users” section for more details). The'' microcanonical'' and ''canonical'' options have associated the following keywords:  
-  
-  
-'''''ntraj''''':  
-is the number of trajectories.  
-  
-  
-'''''seed''''':  
-can be employed to run a test trajectory (optional). This is the seed for the random  
-number generator. If you plan to run more than one trajectory do not use this  
-keyword, and every trajectory will have a different random number seed.  
-  
-  
-The  
-sampling options ''association'' and ''external'' are explained in sections f and  
-“advanced users”, respectively.  
-  
-  
-'''BBFS (Bond Breaking/Formation Search) section.''' The BBFS  
-algorithm selects TS guess structures monitoring changes in the adjacency  
-matrix.[[1b]] The  
-user can impose some constraints based on the imaginary frequency of the  
-structures found:  
-  
-  
---BBFS  
-section--  
-  
-  
-freqmin 200  
-  
-  
-Here, the keyword''''' freqmin''''' refers to the minimum imaginary frequency  
-(in absolute value and cm<sup>-1</sup>) considered for the selection of TSs. This  
-option can be used to avoid (or minimize) the selection of possible TSs of van  
-der Waals complexes in which the imaginary frequency is associated with intermolecular  
-degrees of freedom.  
-  
-  
-'''Structure screening section'''. The tsscds2018 program collects a series of  
-structures associated with transition states of the potential energy surface of  
-the system. Some of these structures might correspond to the same transition  
-state. Furthermore, some of the structures may correspond to transition states  
-of van der Waals complexes formed upon fragmentation of the reactant molecule. To  
-avoid or minimize repeated structures and van der Waals complexes, the tsscds2018  
-package includes a screening tool, which is based on the values of the following  
-features calculated for each structure: energy, SPRINT coordinates,[[3]]  
-degrees of each vertex and eigenvalues of the Laplacian matrix.[[1a]] Comparing  
-these values for two structures, the mean absolute percentage error (MAPE) and the  
-biggest absolute percentage error (BAPE) are obtained. The keywords '''''avgerr''''' and '''''bigerr''''' set the maximum  
-values for MAPE and BAPE, respectively, which are used for screening. If both  
-the MAPE and BAPE values calculated for two structures are below the '''''avgerr''''' and '''''bigerr''''' values,  
-respectively, the structures are considered to represent the same transition  
-state, and therefore only one of these structures is included in the TSs list.  
-The values used in the FA example are:  
-  
-  
---Screening  
-of the structures section--  
-  
-  
-avgerr  
-.008                   
-  
-  
-bigerr  
-2.5                         
-  
-  
-thdiss .1  
-  
-  
-The last  
-keyword, called '''''thdiss''''', refers to the  
-eigenvalues of the Laplacian (EL). This keyword gives the threshold for an EL  
-to be considered . Therefore, in our example, if an EL&lt;.1, then this EL is  
-set to .  The number of zero ELs  
-provides the number of fragments in the system. This criterion is used to  
-identify van der Waals complexes that are formed by unimolecular fragmentation.  
-  
-  
-'''Kinetics section.''' This part is employed to provide details for the  
-kinetics calculations at the (experimental) conditions you want to simulate. An  
-example is given as follows.  
-  
-  
---Kinetics  
-section--  
-  
-  
-Rate  microcanonical  
-  
-  
-EKMC  150  
-  
-  
-The  
-most relevant keywords of this section are the following.  
-  
-  
-'''''Rate''''': can  
-either be ''canonical'' or ''microcanonical'', which means that the  
-rate constants will be calculated according to Transition State Theory (TST) or  
-Rice-Ramsperger-Kassel-Marcus (RRKM) theory,  
-respectively. '''''EKMC'':''' If rate is microcanonical, this is the energy (in kcal/mol) for which microcanonical rate coefficients will be  
-calculated.  
-  
-  
-'''''TKMC'''''''':''' If rate is  
-canonical, this is the temperature (in K) for which thermal rate coefficients  
-will be calculated. At present, temperatures below 100 K are not allowed.  
-  
-  
-== b) Running the dynamics in a single processor ==  
-  
-Canonical  
-and microcanonical sampling methods provide initial coordinates and momenta to  
-run accelerated dynamics simulations. Select the number of trajectories with ''ntraj'' and  
-remember to avoid the ''seed'' keyword if  
-the number of trajectories is greater than 1. In you want to run 10  
-trajectories, your CDS section should look like (remember that the tsscds/2018 module must be loaded):  
-  
-  
---CDS  
-section--  
-  
-  
-sampling  
-microcanonical  
-  
-  
-ntraj 10  
-  
-  
-The dynamics can be run either  
-in a single processor or in parallel. To run trajectories in a single processor use the tsscds.sh  
-script:  
-  
-  
-tsscds.sh FA.dat &gt;tsscds.log &amp;  
-  
-  
-The ouput file ''tsscds''.''log'' provides information about the  
-calculations. In addition, a directory called tsdirLL_FA is created, which contains  
-information that may be useful for checking purposes. We notice that the  
-program creates a symbolic link to the ''FA.dat''  
-file, named ''tsscds.dat'', which is used  
-internally by several tsscds2018 scripts. At any time, you can check the  
-transition states that have been found using:  
-  
-  
-tsll_view.sh  
-  
-  
-The output of this  
-script will be something like this:  
-  
-  
-  ts #  MOPAC file  
-name  w_imag    Energy      
-w1     w2     w3      
-w4 traj #    
-Folder  
-  
-  
-  ----   
----------------  ------    ------    
-----   ----   ----    
----- ------   ------  
-  
-  
-     1        
-    ts1_FA 1587.3i    -35.71  204.3   
-438.3  461.3  726.8       
-1       FA  
-  
-  
-     2       
-     ts2_FA 2009.6i    -17.61  327.2   
-472.7  522.7 1078.6      2       FA  
-  
-  
-      
-3           ts3_FA 2930.8i    -20.17  450.6   
-586.9  908.6  997.2       
-7       FA  
-  
-  
-where the  
-first column is the label of each TS, the second is the filename of the MOPAC output  
-(located in the tsdirLL_FA  
-directory), the third is the imaginary frequency (in cm<sup>-1</sup>), the fourth  
-one is the energy in kcal/mol (actually, the heat of  
-formation calculated by MOPAC2016) and the next four numbers are the four  
-lowest vibrational frequencies (in cm<sup>-1</sup>). Finally, the last two  
-columns are the trajectory number and the name of the folder where the  
-accelerated dynamics were run.  
-  
-  
-'''CAVEAT: '''since the  
-dynamics employ random number seeds, the above results may differ from those  
-obtained in your computer.  
-  
-  
-As  
-already mentioned, the MOPAC2016 output files of the optimized TSs are stored  
-in tsdirLL_FA. You can use a visualization program  
-(e.g., Molden) to analyze your results. Try, for  
-instance:  
-  
-  
-molden tsdirLL_FA/ts1_FA.out  
-  
-  
-You can also  
-watch the animation of trajectories, which are stored in the coordir folder inside the working directory:  
-  
-  
-molden coordir/FA_dyn1.xyz  
-  
-  
-We notice  
-that the coordir folder is temporary. It is removed during the  
-execution of a subsequent script.  
-  
-  
-== c) Running the dynamics in multiple processors ==  
-  
-If  
-you have access to several processors and want to run the dynamics in parallel,  
-you can use the script tsscds_parallel.sh,  
-which is executed interactively (a Zenity progress  
-bar will appear on the screen). For instance, to submit 50 trajectories split  
-in 5 different tasks (10 trajectories each) you should use:  
-  
-  
-tsscds_parallel.sh FA.dat 5  
-  
-  
-This will  
-create temporary directories batch1, batch2,  
-batch3, batch4 and batch5 that will be removed when the IRCs are calculated. Each  
-of these folders includes a coordir directory, which contains the individual  
-trajectories. The TSs found in each individual task will be copied in the same  
-folder, tsdirLL_FA,  
-and, as indicated above, using the tsll_view.sh  
-script you can monitor the progress of the calculations. Notice that the total  
-number of trajectories is given by ''ntraj'' (value specified in the CDS section) multiplied by the  
-number of tasks. We recommend running the tsscds_parallel.sh  
-script interactively only for checking purposes, and particularly to carry out  
-the screening. To run many trajectories for production, we recommend using the llcalcs.sh script, which is described below.  
-  
-  
-If  
-the Slurm Workload Manager is installed on your  
-computer, you can submit the jobs to Slurm using:  
-  
-  
-sbatch [''options''] tsscds_parallel.sh FA.dat ntasks  
-  
-  
-where ''ntasks''  
-is the number of tasks.  If no options  
-are specified, ''sbatch''  
-employs the following default values:  
-  
-  
-#SBATCH --output=tsscds_parallel-%j.log  
-  
-  
-#SBATCH --time=04:00:00  
-  
-  
-#SBATCH -c 1 --mem-per-cpu=2048  
-  
-  
-#SBATCH -n 8  
-  
-  
-These values  
-can be changed when you submit the job with ''options''.  
-  
-  
-'''CAVEAT:''' if you use Slurm  
-Workload Manage for the tsscds_parallel.sh script,  
-you will have to wait until all tasks are completed before going on.  
-  
-  
-== d) Analyzing the dynamics results ==  
-  
-1)  
-The tsscds package  
-includes the irc.sh script, which performs  
-intrinsic reaction coordinate calculations for all the located TSs. This script  
-also allows one to perform an initial screening of the TS structures before  
-running the IRC calculations:  
-  
-  
-irc.sh screening  
-  
-  
-This will do  
-the screening and stop. The process involves the use of tools from Spectral  
-Graph Theory and utilizes the three threshold values indicated above: ''avgerr''''''', '''''''bigerr'' and ''thdiss''. The  
-redundant and fragmented structures are printed on screen as well as in the  
-file ''screening.log''. The MOPAC2016 ouput files are gathered in tsdirLL_FA, and use filenames initiated by  
-“REPEAT” and “DISCNT”, which refer to repeated and disconnected (i.e.,  
-fragmented) structures, respectively.   
-Please check these structures and, if needed, change the above  
-parameters. Should you change some of the above parameters (''avgerr'''', bigerr, thdiss''),  
-you need to redo the screening with the new parameters:  
-  
-  
-redo_screening.sh  
-  
-  
-You can  
-repeat the above process until you are happy with the “screening”.  
-  
-  
-Once  
-you are confident with the threshold values, you can submit many trajectories  
-to carry out a thorough exploration of the potential energy surface.  
-Subsequently, you can proceed with the IRC calculations.  
-  
-  
-2)  
-Obtaining the IRCs:  
-  
-  
-(sbatch [''options''])  
-irc.sh  
-  
-  
-3)  
-Optimizing the  
-minima:  
-  
-  
-(sbatch [''options''])  
-min.sh  
-  
-  
-4)  
-Creating the  
-reaction network:  
-  
-  
-rxn_network.sh  
-  
-  
-Once  
-you have created the reaction network, you can grow your TS list by running  
-more trajectories (with tsscds_parallel.sh or  
-tsscds.sh). Now the trajectories will start from  
-the newly generated minima as well as from the main structure, specified in the  
-''molecule.xyz''  
-file. It is important to notice that, in general, trajectories run in separate  
-batches (i.e., performed in several tasks) may be initialized from different  
-minima and will have different energies. In this regard, the efficiency of the  
-code may increase if the calculations are submitted using a  
-large number for the ''ntasks'' parameter.  
-  
-  
-Convergence  
-in the total number of TSs can be checked doing:  
-  
-  
-track_view.sh  
-  
-  
-When you are  
-happy with the obtained TSs or you achieve convergence, you can proceed with  
-the next steps.  
-  
-  
-5)  
-Solving the kinetics  
-using KMC with the parameters given in the kinetics section:  
-  
-  
-kmc.sh  
-  
-  
-6)  
-Gathering all relevant information in  
-folder FINAL_LL_FA:  
-  
-  
-final.sh  
-  
-  
-This folder  
-will gather all the relevant information data, which are described below.  
-  
-  
-== e) Running all low-level calculations using a single script ==  
-  
-All  
-the above steps can be done automatically using a single script, called llcalcs.sh. To run this script on a workstation  
-with the GNU Parallel tool, type  
-  
-  
-nohup llcalcs.sh  
-molecule.dat ntasks niter runningtasks  
-&gt;llcalcs.log 2&gt;&amp;1 &amp;  
-  
-  
-where ''ntasks'' is the  
-number of tasks for tsscds_parallel.sh, ''niter'' is the number of tsscds iterations, and ''runningtasks'' is the number of simultaneous  
-tasks (useful if the workstation is shared by several users). The script can be  
-run without the arguments (i.e., ''molecule.dat'',  
-''ntasks'',  
-niter and ''runningtasks''),  
-and two pop-up windows will help you enter the arguments.  
-  
-  
-Finally,  
-if your computer system has the Slurm job scheduler,  
-you can submit the calculations as follows:  
-  
-  
-sbatch llcalcs.sh  
-molecule.dat ntasks niter  
-  
-  
-'''CAVEAT:''' the use of llcalcs.sh is recommended once you have verified  
-that the screening process works fine for your system.  
-  
-  
-During  
-the execution of the llcalcs.sh script, the  
-user may know the total number of trajectories completed at a given time using  
-the script ntraj.sh. This also works for  
-executions with the tsscds_parallel.sh  
-script.  
-  
-  
-== f) Running the high-level calculations ==  
-  
-Once  
-the the low-level calculations have been completed, the user can perform the  
-high-level computations, which use the G09 program. These include the  
-optimization of TSs, IRC calculations, optimization of minima and products,  
-construction of the reaction network, calculation of rate coefficients and  
-evaluation of the time evolution of the chemical species involved in the global  
-reaction mechanism. All these steps can be performed in an automatic fashion  
-using the hlcalcs.sh script, employing the  
-following sentence (for the FA example):  
-  
-  
-nohup hlcalcs.sh  
-FA.dat runningtasks &gt;hlcalcs.log 2&gt;&amp;1 &amp;  
-  
-  
-As for the  
-low-level calculations, the argument ''runningtasks'' is the maximum number of tasks that can be run  
-simultaneously in your computer. If your computer system has the Slurm job scheduler, the calculations can be submitted in  
-the following way:  
-  
-  
-sbatch hlcalcs.sh  
-FA.dat  
-  
-  
-Although  
-we recommend using the automatic procedure for the simulation of reaction  
-mechanism and kinetics at the high level, it is  
-possible to perform the calculations step by step, as described next:  
-  
-  
-1.  
-From your working directory (FA in  
-the example), run:  
-  
-  
-(sbatch [''options''])  
-TS.sh FA.dat  
-  
-  
-In this case,  
-the default values for a job submitted to Slurm are:  
-  
-  
-#SBATCH --time=04:00:00  
-  
-  
-#SBATCH -n 4  
-  
-  
-#SBATCH --output=TS-%j.log  
-  
-  
-#SBATCH --ntasks-per-node=2  
-  
-  
-#SBATCH -c 12  
-  
-  
-2.  
-The scripts needed to build the  
-reaction network and solve the kinetics are the same as those described above  
-for the ''LL'' calculations. Namely:  
-  
-  
-(sbatch [''options'']) IRC.sh  
-  
-  
-(sbatch [''options'']) MIN.sh  
-  
-  
-RXN_NETWORK.sh  
-  
-  
-KMC.sh  
-  
-  
-Remember that  
-the use of Slurm involves checking that every script  
-has finished before proceeding with the next one.  
-  
-  
-3.  
-The product fragments are optimized  
-using          
-  
-  
-(sbatch [''options''])  
-PRODs.sh                                                                                                                                                                  
-  
-  
-'''CAVEAT''': Step 3 is mandatory before proceeding to step  
-4. Run step 3 only when you are sure the first two steps have been successfully  
-completed and you do not need to add more transition states.  
-  
-  
-4.  
-To make a summary of the calculations  
-in folder FINAL_HL_FA:  
-  
-  
-FINAL.sh  
-  
-  
-We  
-notice that the high-level calculations also generate the directory tsdirHL_FA, which is the  
-counterpart of the tsdirLL_FA  
-folder. Finally, remember that you can use the kinetics.sh  
-script to calculate rate coefficients and product branching rations for an  
-energy or temperature different from that specified in the kinetics section of  
-the ''molecule.dat'' file (''FA.dat'' in our example).  
-  
-  
-== g) Aborting tsscds calculations ==  
-  
-If,  
-for any reason, you want to kill all the calculations, execute the following  
-script from the working directory:  
-  
-  
-abort.sh  
-  
-  
-This script  
-kills the processes whose PID are specified in these hidden files: ''.''''parallel.pid'' and ''.script.pid''. We  
-notice that, if G09 jobs are killed, the read-write files (Gau-#####)  
-generated in the Gaussian scratch directory are not removed. The user should do  
-it manually.  
-  
-  
-== h) Directory tree structure of the working directory ==  
-  
-The  
-figure below shows the main folders that are generated in the working  
-directory. Folders batch1, batch2, and so on, include a coordir directory,  
-which contains the individual trajectories computed in the associated task. The  
-directories shown in blue will remain at the end of the calculations, while the  
-other ones are temporary. The tsscds_parallel-logs  
-directory contains a series of files that give information on CPU time  
-consumption for the different calculation steps when they were executed with  
-GNU Parallel. The most important files and the information they contain are  
-described in the next section.         
-  
-  
-== i) Relevant information ==  
-  
-As already mentioned, the scripts final.sh  
-and FINAL.sh collect all the relevant  
-information in folders FINAL_LL_FA  and FINAL_HL_FA, respectively (for our example  
-in which ''molecule'' is ''FA''). These folders contain some files as  
-well as a subdirectory called normal_modes,  
-which includes, for each structure, a file (in MOLDEN format) with which you  
-can visualize the corresponding normal modes. The files included in FINAL_XL_FA (XL = LL or HL) are the following.  
-  
-  
-'''''Energy_profile.gnu''''': is a gnuplot data file with which you can plot an energy diagram  
-with the '''relevant''' '''paths'''. If you change the value of ''ImpPaths'' in the  
-kinetics section of the input data (''FA.dat''  
-in our case), you will incorporate/remove some pathways. In our example, the  
-energy diagram is the following:  
-  
-  
-'''''MINinfo''''':  
-contains information of the minima:  
-  
-  
-MIN #     
-DE(kcal/mol)  
-  
-  
-    1       -8.340  
-  
-  
-    2        .000  
-  
-  
-    3        5.283  
-  
-  
-    4        6.710  
-  
-  
-    5       15.338  
-  
-  
-Conformational isomers are listed in the same line:  
-  
-  
-1 2  
-  
-  
-3 4 5  
-  
-  
-'''''TSinfo''''':  
-contains information of the TSs:  
-  
-  
-TS  #    DE(kcal/mol)  
-  
-  
-    1         
-1.873  
-  
-  
-    2         
-9.625  
-  
-  
-    3        
-25.137  
-  
-  
-    4        
-32.852  
-  
-  
-    5        
-37.596  
-  
-  
-    6        
-40.962  
-  
-  
-    7        
-43.960  
-  
-  
-    8        
-53.165  
-  
-  
-    9        
-58.155  
-  
-  
-   10        
-60.011  
-  
-  
-   11        
-90.312  
-  
-  
-Conformational  
-isomers are listed in the same line:  
-  
-  
-8 10  
-  
-  
-In the above  
-files, DE is the energy relative to that of the main structure specified in the  
-''FA.dat'' file (optimized with the semiempirical Hamiltonian). The integers are used to  
-identify, independently, minima and transition states. Notice that, in this  
-example, MIN 2 corresponds to the structure specified in ''FA.xyz''.  
-  
-  
-'''''table''''''''.''db''''':  
-with ''table'' being ''min'', ''prod'' or ''ts''. These are  
-SQLite3 tables containing the geometries, energies and frequencies of minima,  
-products and TSs, respectively. The different properties can be obtained using  
-the select.sh script, which should be run in  
-the FINAL_LL_FA (or FINAL_HL_FA ) folder:  
-  
-  
-select.sh property table label  
-  
-  
-where ''property'' can be: ''natom'', ''name'', ''energy'', ''zpe'', ''g'', ''geom'', ''freq'', ''formula'' (only for prod) or ''all'',  
-and label is one of the numbers shown in RXNet (see  
-below), which are employed to label each structure. At the semiempirical  
-level, the energy values correspond to heats of formation. For high-level  
-calculations, the tables collect the electronic energies. As an example, to  
-obtain the geometry of the first transition state, you should use:  
-  
-  
-select.sh geom ts 1  
-  
-  
-'''''RXNet''''':  
-contains information of the complete reaction network, that is all the  
-elementary reactions found by the tsscds-2018 program.  
-  
-  
-TS #     
-DE(kcal/mol)    -------Path info--------  
-  
-  
-    1        1.873        MIN     
-1 &lt;--&gt;   
-MIN    2  
-  
-  
-    2         
-9.625        MIN    3 &lt;--&gt;  MIN     
-4  
-  
-  
-    3        
-25.137        MIN    1 &lt;--&gt;  MIN     
-1  
-  
-  
-    4        
-32.852       PROD    1 &lt;--&gt; PROD    2  
-  
-  
-    5        
-37.596        MIN    4 &lt;--&gt; PROD    2  
-  
-  
-    6        
-40.962        MIN    1 &lt;--&gt; PROD    2  
-  
-  
-    7        
-43.960        MIN    3 &lt;--&gt; PROD    1  
-  
-  
-    8        
-53.165        MIN    1 &lt;--&gt;  MIN     
-4  
-  
-  
-    9        
-58.155        MIN    2 &lt;--&gt; PROD    1  
-  
-  
-   10        
-60.011        MIN    2 &lt;--&gt;  MIN     
-5  
-  
-  
-   11        
-90.312       PROD    2 &lt;--&gt; PROD    7  
-  
-  
-PROD 1 H2  
-+ CO2  
-  
-  
-PROD 2 CO  
-+ H2O  
-  
-  
-PROD 7 H2 + CO2  
-  
-  
-As can be  
-seen, for each transition state, this file specifies the associated minima  
-and/or products and their corresponding identification numbers. Notice that  
-TSs, minima (MIN) and products (PROD) have independent identification numbers.  
-If you use the option ''complete'' for  
-the keyword ''HL_rxn_network''  
-(in the General section of the input data), all the TSs will be reoptimized in  
-the high-level calculations. You may reduce significantly the number of TSs to  
-be reoptimized in the HL calculations, and therefore the reaction network, if  
-you use the option ''reduced''. If it is  
-employed without an argument, TSs associated to PROD &#8596; PROD  
-steps (i.e., bimolecular reactions) and to interconversion between optical  
-isomers (e.g., TS 3) will not be reoptimized in the HL calculations. You may  
-include a number as an argument of this option:  
-  
-  
-HL_rxn_network reduced 55.  
-  
-  
-In this case,  
-besides the above TSs, all TSs having relative energies larger than 55.0 kcal/mol will not be considered for HL reoptimizations,  
-that is, they will not be included in the HL reaction network.  
-  
-  
-'''''RXNet.cg''''':  
-By default (see below) the KMC calculations are “coarse-grained”, that is,  
-conformational isomers form a single state, which is taken as the lowest energy  
-isomer. Such reaction network, which also removes bimolecular channels, is the  
-following:  
-  
-  
-TS #    DE(kcal/mol)    -------Path info--------  
-  
-  
-    5       37.596        MIN     
-3 &lt;--&gt; PROD    2    CONN  
-  
-  
-    6       40.962        MIN     
-1 &lt;--&gt; PROD    2    CONN  
-  
-  
-    7       43.960        MIN     
-3 &lt;--&gt; PROD    1    CONN  
-  
-  
-    8       53.165        MIN     
-1 &lt;--&gt;   
-MIN    3    CONN  
-  
-  
-    9       58.155        MIN     
-1 &lt;--&gt; PROD    1    CONN  
-  
-  
-   10       60.011        MIN     
-1 &lt;--&gt;   
-MIN    3    CONN  
-  
-  
-PROD 1 H2 + CO2  
-  
-  
-PROD 2 CO + H2O  
-  
-  
-PROD 7 H2 +  
-CO2  
-  
-  
-The last  
-column with the flag “CONN” or “DISCONN” indicates whether the given process is connected with the others (CONN) or whether it is  
-isolated (DISCONN). This flag is useful when you choose a starting intermediate  
-for the KMC simulations, because that intermediate should be  
-connected with the others. If you want to include all conformational  
-isomers explicitly in the KMC simulations, you need to construct the reaction  
-network by using the ''allstates''  
-option, as described in the next section.  
-  
-  
-'''''RXNet.rel''''':  
-This file is similar to ''RXNet.cg'', but only specifies the relevant paths, that is, those  
-included in the ''Energy_profile.gnu''  
-file.  
-  
-  
-'''''kineticsFvalue''''':  
-This file contains the kinetics results, namely, the final branching ratios and  
-the population of every species as a function of time. In the name of the file,  
-F is either “T” or “E” for temperature or energy, and “value” is the  
-corresponding value. For instance, the kinetics results for a canonical  
-calculation at 298 K would be printed in a file called ''kineticsT298''. A gnuplot file called ''populationFvalue.gnu''  
-is also available. It is a plot with the population of each species as a  
-function of time. The following figure shows an example of such a plot obtained  
-for the decomposition of FA using the PM7 stationary points.  
-  
-  
-== j) Details of the kinetics simulations ==  
-  
-By  
-default, for the KMC simulations the different conformational isomers form a  
-single state, which speeds up the calculations. If you prefer to treat each  
-conformational isomer as a single state in the KMC calculations, you should run  
-the rxn_network.sh script again (or RXN_NETWORK.sh for the high  
-level), using the argument ''allstates'', and solve the kinetics again. The following three  
-scripts should be run to take all low-level conformational isomers into account  
-in the KMC simulations:  
-  
-  
-rxn_network.sh allstates  
-  
-  
-kmc.sh  
-  
-  
-final.sh  
-  
-  
-The  
-corresponding calculation for the high-level reaction network would employ the  
-same scripts with capital letters.  
-  
-  
-When  
-the calculations seek to simulate a thermal experiment (and therefore ''rate canonical'' is specified in the input  
-file), the kinetics calculations can be rerun for a temperature different from  
-that specified in the input file (using the ''TKMC''  
-keyword). This can be easily done using the kinetics.sh  
-script with the following arguments:  
-  
-  
-kinetics.sh temp calc (allstates)  
-  
-  
-where temp is  
-the new temperature of the system (in K), and calc is  
-either ll (low-level) or hl (high-level). At this  
-point, you should employ ll, but hl is available when  
-you complete the hl calculations (vide infra). Finally, with no other options,  
-the conformational isomers will form a single state (as above), and using allstates as the last argument, the calculations will  
-regard every conformational isomer as a different state.  
-  
- <br>  
-= 6. Other capabilities =  
-  
-== a) Association complexes ==  
-  
-The  
-tsscds2018 package includes an option to predict association complexes. The  
-input file for this type of calculation differs slightly from that used for  
-unimolecular decompositions. Here the basic idea is to perform a series of full  
-optimizations starting from separated molecules or fragments A and B. An  
-example of such input file can be found in path_to_program/examples/assoc.dat. Two more additional files are also  
-needed for this example, ''cat.xyz''  
-and ''co.xyz'',  
-which are also available in the same folder. The ''assoc.dat'' file contains the following data:  
-  
-  
---General section--  
-  
-  
-charge  
-  
-  
-mult 1  
-  
-  
---CDS section--  
-  
-  
-sampling association  
-  
-  
-A= cat  
-  
-  
-B= co  
-  
-  
-rotate 2 com 2.0 1.  
-  
-  
---Screening of the structures section--  
-  
-  
-avgerr .0001            
-  
-  
-bigerr 5                 
-  
-  
-thdiss .1               
-  
-  
-This type of  
-sampling only needs three sections: General, CDS and Screening. The CDS section  
-only needs three keywords:  
-  
-  
-'''''A''''':  
-is the name of fragment A. A file with the Cartesian coordinates ''fragA.xyz'' (''cat.xyz'' in this  
-example) must be present in the working directory.  
-  
-  
-'''''B''''':  
-is the name of fragment B. A file with the Cartesian coordinates ''fragB.xyz'' (''co.xyz'' in our  
-example) must be present as well.  
-  
-  
-'''''rotate'''''''': '''refers to the  
-method employed to optimize the complexes. The calculation is carried out by taking 100 relative structures of both  
-fragments, obtained via random rotations. Thus, the next two fields “'''2 com“ indicate'''  
-the pivot positions of the rotations: atom 2 of fragment A and the center of  
-mass (com) of fragment B. The last two numbers “'''2.'''“ and “'''1.'''“ are distances, in Å, that indicate the distance between  
-both pivots and the minimum intermolecular distance between any two atoms of  
-both fragments, respectively.  
-  
-  
-With  
-this sampling, you do not need the BBFS and kinetics sections. However, you  
-still need to provide the parameters for the screening (''vide supra'').  
-  
-  
-To  
-run the calculations, type:  
-  
-  
-tsscds.sh assoc.dat  
-  
-  
-This  
-job will submit 100 independent optimizations to find the structures. After the  
-jobs finished, the script will automatically remove duplicates and select the  
-best association “complex”.  
-  
-  
-You can check the optimized structures in folder assoc_cat_co. The  
-program will also select the “best” structure according to the minimum number  
-of structural changes between the complex and the individual fragments and its  
-energy. The structure selected will be called ''cat_co.xyz''. For fragments  
-containing metals (like in this example), the selection is also based on the  
-valence of the metal center. The  
-file ''assoclist_sorted''  
-(in the assoc_cat_co folder) collects a summary of the  
-structures and their energies, as well as the MOPAC2016 output files of each of  
-them, which are called ''assocN.out'',  
-where N is a number from 1 to 100.  
-  
-  
-== b) Advanced options ==  
-  
-The  
-following are keywords that can be useful for experienced users.  
-  
-  
-<u>General  
-section</u>  
-  
-  
-'''''iop''''':  
-can be employed to specify an IOp in G09. Example:  
-  
-  
-HighLevel  
-mpwb95/6-31+G(d,p)  
-  
-  
-iop iop(3/76=0560004400)  
-  
-  
-<u>CDS section</u>  
-  
-  
-'''''atoms''''':  
-is analogous to ''modes'' (explained  
-below) but for a canonical ensemble. It indicates the atoms that are excited  
-when a canonical ensemble is employed (the default is ''all'').  
-  
-  
-'''''etraj''''':  
-can be employed along with ''microcanonical''  
-sampling and is the energy (in kcal/mol) of the  
-accelerated dynamics simulations. This can be a single value (200) or a range,  
-in which case the energy is randomly selected in the given energy range  
-(200-300 for instance).  
-  
-  
-If  
-''etraj'' is  
-not specified, the program automatically employs the following range of  
-energies:  kcal/mol, where  
-''s'' is the number of vibrational  
-degrees of freedom of the system. The values 16.25 and 46.25 have been  
-determined from the formic acid results and making use of RRK theory. Those are  
-the initial values of ''etraj'',  
-but the program automatically adjusts the range to obtain at least 60%  
-reactivity at the boundaries.  
-  
-  
-'''''factorflipv''''':  
-using the default options, trajectories are terminated after 500 fs (see the ''fs'' keyword) or when there is one  
-interatomic distance, ''r<sub>ij</sub>'',  
-that reaches 5 times its value at time equals zero (i.e., at the initial  
-conditions of the trajectory). Using this option, the trajectories are  
-propagated during 500 fs (or during the simulation time specified using the  
-keyword ''fs''). In addition, a change in  
-the atomic velocities is applied when the following relationship is fulfilled:  
-  
-  
-where  
- is the distance  
-between atoms ''i'' and ''j'' at time = . Specifically, the program modifies the atomic velocities  
-according to the following criteria:  
-  
-  
-This  
-way, the trajectory continues exploring points in configuration space that may  
-be close to possible transition states. This option may increase the efficiency  
-of the program. We recommend a value of 3.0 or larger for ''factorflipv''.  
-  
-  
-'''''fs''''': is the simulation time (in fs). The default is  
-500.  
-  
-  
-'''''modes''''': can be employed together with ''microcanonical'' sampling. The default is ''all'', which means that all modes are  
-excited. If you want to excite just the three lowest normal modes, you must  
-specify:  
-  
-  
-modes 3 1,2,3  
-  
-  
-Notice  
-that the labels of the normal modes must be comma separated.  
-  
-  
-'''''temp''''': can be employed with ''canonical'' sampling and is the temperature, in K, of the accelerated  
-dynamics. As for ''etraj'',  
-it can be a single number or a range.  
-  
-  
-In the absence of the ''temp'' keyword, the program automatically defines the following range  
-of temperatures:  K, which has  
-been optimized for formic acid. However, as for ''etraj'', the boundaries are  
-adjusted “on the fly” to obtain a minimum reactivity of 60%.  
-  
-  
-'''''thmass''''':  
-can be employed, together with ''canonical'',  
-to specify the required minimum mass (in a.u.) of an  
-atom to be initially excited.  
-  
-  
-<u>BBFS section</u>  
-  
-  
-'''''fastmode''''': using  
-this keyword, only one point in the vicinity of a  
-possible TS is selected for TS optimization, which is conducted with the  
-Eigenvector Following algorithm, as implemented in MOPAC. This is the default.  
-  
-  
-'''''slowmode''''':  
-using this keyword, up to 3 points are picked in the vicinity  
-of a possible TS and the Hessian is updated every 10 steps. Obviously,  
-this option is slower than ''fastmode'', but it might be tested when the BBFS algorithm is  
-not able to find TSs with efficacy.  
-  
-  
-<u>Kinetics section</u>  
-  
-  
-'''''imin'''''''':''' this keyword  
-is used to specify the starting minimum for the KMC simulations. The argument  
-is an integer, which identifies the desired structure. The default is the  
-starting reference structure. All the minima are listed in ''MINinfo'' file and the user must  
-examine ''RXNet.cg'' file to check that  
-the minimum is indeed connected with the other ones (last column of each  
-pathway indicates this fact).  
-  
-  
-'''''nmol: '''''specifies  
-the number of molecules for the KMC simulations. The default is 1000.  
-  
-  
-'''''Stepsize''''':  
-indicates that the population of all the species in a KMC run is printed every ''Stepsize''  
-reactions. The default is 10.  
-  
-  
-'''''MaxEn''''': is  
-the maximum allowed energy for a TS to be included in the reaction network. The  
-default is 100 kcal/mol when ''rate'' is ''canonical''  
-and it equals EKMC when ''rate'' is ''microcanonical''.  
-  
-  
-'''''PathInfo''''': can be used to run the KMC simulations  
-only for the relevant paths. In this case, you have to  
-run the final.sh script and then you must  
-specify the following keywords in the kinetics section before running kmc.sh again:  
-  
-  
-PathInfo Relevant  
-  
-  
-'''''ImpPaths''''':  
-is the minimum percentage of processes occurring through a particular  
-pathway (in the KMC simulation) that has to be achieved in order to be  
-considered relevant and finally included in the ''Energy_profile.gnu'' file. The  
-default is .1; therefore, pathways that contribute less than .1% to product  
-formation are not included in this file. If you want to include them all use .  
-Notice that these pathways may refer to the “coarse-grained” mechanism (default  
-option) or to the complete mechanism that includes conformational isomers  
-(obtained by using the ''allstates''  
-option as described above).  
-  
-  
-== c) Biased dynamics ==  
-  
-The  
-tsscds2018 package includes several methods to bias the dynamics towards  
-specific reaction pathways. So far, these are the available options:  
-  
-  
-1)  
-The first option uses the AXD  
-algorithm described in Ref [[4]],  
-with which selected bond lengths are not allowed to stretch more than 30% with  
-respect to their initial values. This can be useful to prevent the breakage of  
-certain bonds. This option can be used adding the following keyword in the CDS  
-section:  
-  
-  
-nbondsfrozen  
-2  
-  
-  
-1 13  
-  
-  
-2 8  
-  
-  
-This would  
-“freeze” two bond distances connecting atoms 1-13 and 2-8, respectively. The  
-labels of the atoms must follow the line starting with '''''nbondsfrozen'''''.  
-  
-  
-2)  
-The second algorithm bias the  
-dynamics towards a particular reaction mechanism. An  
-example of this option is provided in file path_to_program/examples/FA_biasH2.dat  
-(you also need ''FA.xyz''),  
-which illustrates a way to search for H<sub>2</sub> elimination transition  
-states from formic acid.  In this  
-example, the keywords added to the CDS section are:  
-  
-  
-nbondsbreak  
-2  
-  
-  
-3 5  
-  
-  
-1 4  
-  
-  
-nbondsform  
-1  
-  
-  
-4 5  
-  
-  
-Kapparep  100  
-  
-  
-Kappa     100  
-  
-  
-rmin      .5  
-  
-  
-iexp        1  
-  
-  
-irange     10  
-  
-  
-In this case,  
-the reaction coordinate is composed of bond distances: 3-5, 1-4 and 4-5. While  
-the first two bonds have to break, the last one has to  
-be formed during the elimination of molecular hydrogen.  
-  
-  
-Keywords  
-'''''nbondsbreak''''' and '''''nbondsform''''' follow  
-the same syntax as ''nbondsfrozen''  
-above. The other keywords are explained as follows. A bias potential is added  
-to the potential energy obtained using the semiempirical  
-Hamiltonian. The bias potential has the following simple form:  
-  
-  
-where ,  ,  and  are parameters corresponding  
-to the keywords '''''Kapparep''''', '''''Kappa''''',  
-'''''rmin''''' and '''''iexp''''', and their  
-units are such that the potential energy is in kcal/mol  
-and the distances in Å. Additionally, the keyword (parameter) '''''irange''''' corresponds to the time window (in fs) employed  
-by BBFS.[[1b]] This  
-parameter takes a default value of 20 fs when nonbiased simulations are  
-performed.  
-  
-  
-A similar test can be performed on the same  
-molecule to get the TS for H<sub>2</sub>O elimination. The corresponding input  
-file, ''FA_biasH2O.dat'', is also available  
-in directory path_to_program/examples. Additionally, a Diels-Alder reaction has  
-also been tested (ethylene+1,3-butadiene®cyclohexene),  
-using the input files ''diels_bias.dat ''and  
-''diels.xyz''  
-provided in the tsscds2018 distribution.  
-  
-  
-The following table shows the parameters employed for  
-the above examples:  
-  
-  
-{| border="1"  
-|-  
-|  
-Diels-Alder rxn  
-  
-  
-|  
-H<sub>2</sub> elimination from FA  
-  
-  
-|  
-H<sub>2</sub>O elimination from FA  
-  
-  
-|-  
-|  
-|  
-200  
-  
-  
-|  
-100  
-  
-  
-|  
-100  
-  
-  
-|-  
-|  
-|  
-200  
-  
-  
-|  
-100  
-  
-  
-|  
-100  
-  
-  
-|-  
-|  
-|  
-.5  
-  
-  
-|  
-.5  
-  
-  
-|  
-.5  
-  
-  
-|-  
-|  
-|  
-1  
-  
-  
-|  
-1  
-  
-  
-|  
-1  
-  
-  
-|-  
-|  
-''irange''  
-  
-  
-|  
-10  
-  
-  
-|  
-10  
-  
-  
-|  
-10  
-  
-  
-|}  
-The units are  
-such that the potential energy is in kcal/mol and the  
-distances in Å.  
-  
-  
-The above examples can  
-be tested using the tsscds.sh script:  
-  
-  
-tsscds.sh inputfile  
-  
-  
-Should you try this second option, you have to optimize the parameters for your own system, perhaps  
-starting from those collected in the above table.  
-  
- <br>  
-'''References'''  
-  
-  
-[[HTTP://OpenMOPAC.net] ], 2016
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