Project ID: plumID:19.027
Source: MulticanonicalSimulations/Multicanonical/Input/plumed.start.dat
Originally used with PLUMED version: 2.4-dev
Stable: zipped raw stdout - zipped raw stderr - stderr
Master: zipped raw stdout - zipped raw stderr - stderr
# vim:ft=plumedEnables syntax highlighting for PLUMED files in vim. See here for more details.UNITSThis command sets the internal units for the code. More detailsLENGTH=Athe units of lengths
energy :ENERGYCalculate the total potential energy of the simulation box. More details
# Construct a bias potential using VES # # Basis functions
bf1:BF_LEGENDRELegendre polynomials basis functions. More detailsORDER=20The order of the basis function expansionMINIMUM=-25000The minimum of the interval on which the basis functions are definedMAXIMUM=-23500The maximum of the interval on which the basis functions are defined
# Target distributionsTD_MULTICANONICAL...Multicanonical target distribution (dynamic). More detailsLABEL=td_multia label for the action so that its output can be referenced in the input to other actionsSIGMA=50.0The standard deviation parameters of the Gaussian kernels used for smoothing the target distributionMIN_TEMP=400Minimum temperatureMAX_TEMP=600Maximum temperatureTHRESHOLD=1 ... TD_MULTICANONICALMaximum exploration free energy in kT
# ExpansionVES_LINEAR_EXPANSION...Linear basis set expansion bias. More detailsARG=energythe input for this action is the scalar output from one or more other actionsBASIS_FUNCTIONS=bf1the label of the one dimensional basis functions that should be usedTEMP=500.0the system temperature - this is needed if the MD code does not pass the temperature to PLUMEDGRID_BINS=1000the number of bins used for the gridTARGET_DISTRIBUTION=td_multithe label of the target distribution to be usedLABEL=b1 ... VES_LINEAR_EXPANSIONa label for the action so that its output can be referenced in the input to other actions
# Optimization algorithmOPT_AVERAGED_SGD...Averaged stochastic gradient decent with fixed step size. This action has hidden defaults. More detailsBIAS=b1the label of the VES bias to be optimizedSTRIDE=500the frequency of updating the coefficients given in the number of MD stepsLABEL=o1a label for the action so that its output can be referenced in the input to other actionsSTEPSIZE=1the step size used for the optimizationFES_OUTPUT=500how often the FES(s) should be written out to fileBIAS_OUTPUT=500how often the bias(es) should be written out to fileTARGETDIST_OUTPUT=500how often the dynamic target distribution(s) should be written out to fileCOEFFS_OUTPUT=100how often the coefficients should be written to fileTARGETDIST_STRIDE=500 ... OPT_AVERAGED_SGDstride for updating a target distribution that is iteratively updated during the optimizationPrint quantities to a file. More detailsARGthe input for this action is the scalar output from one or more other actionsFILE=COLVARthe name of the file on which to output these quantitiesSTRIDE=500the frequency with which the quantities of interest should be output