Project ID: plumID:19.060
Source: 3_ala4/simulation/plumed.dat
Originally used with PLUMED version: 2.5
Stable: zipped raw stdout - zipped raw stderr - stderr
Master: zipped raw stdout - zipped raw stderr - stderr

Click on the labels of the actions for more information on what each action computes
tested onv2.10
tested onmaster
tested on master
# vim:ft=plumedEnables syntax highlighting for PLUMED files in vim. See here for more details. 

LOADLoads a library, possibly defining new actions. More details FILEfile to be loaded=../../0_code/NeuralNetworkVes.cpp phi1: TORSIONCalculate one or multiple torsional angles. More details ATOMSthe four atoms involved in the torsional angle=5,7,9,15 phi2: TORSIONCalculate one or multiple torsional angles. More details ATOMSthe four atoms involved in the torsional angle=15,17,19,25 phi3: TORSIONCalculate one or multiple torsional angles. More details ATOMSthe four atoms involved in the torsional angle=25,27,29,35 psi1: TORSIONCalculate one or multiple torsional angles. More details ATOMSthe four atoms involved in the torsional angle=7,9,15,17 psi2: TORSIONCalculate one or multiple torsional angles. More details ATOMSthe four atoms involved in the torsional angle=17,19,25,27 psi3: TORSIONCalculate one or multiple torsional angles. More details ATOMSthe four atoms involved in the torsional angle=27,29,35,37 # the following is a fake example using the grid-based version # see below ENDPLUMED for the MC-based version used in the paper
NN_VESThis action is not part of PLUMED and was included by using a LOAD command More details ... TEMP=300.0 LABEL=bias ARG=phi1,phi2,phi3,psi1,psi2,psi3 NODES=96,48,24 OPTIM=ADAM ACTIVATION=RELU GRID_MIN=-pi,-pi,-pi,-pi,-pi,-pi GRID_MAX=pi,pi,pi,pi,pi,pi GRID_BIN=10,10,10,10,10,10 # set to 10 to avoid std_bad_alloc AVE_STRIDE=500 PRINT_STRIDE=100 TARGET_STRIDE=1 LRATE=0.001 GAMMA=10 TAU_KL=100000 DECAY=2000 ADAPTIVE_DECAY=20 ... NN_VES
PRINTPrint quantities to a file. More details ARGthe labels of the values that you would like to print to the file=* STRIDE the frequency with which the quantities of interest should be output=100 FILEthe name of the file on which to output these quantities=COLVAR ENDPLUMEDTerminate plumed input. More details # The following input is related to the MC-based version used in the paper. This is not compatible with newer plumed versions, if you want to try it you should use the code NeuralNetworkVes_ORIGINAL.cpp. NN_VES ... TEMP=300.0 LABEL=bias ARG=phi1,phi2,phi3,psi1,psi2,psi3 NODES=96,48,24 OPTIM=ADAM ACTIVATION=RELU GRID_MIN=-pi,-pi,-pi,-pi,-pi,-pi GRID_MAX=pi,pi,pi,pi,pi,pi GRID_BIN=300,300,300,300,300,300 AVE_STRIDE=500 PRINT_STRIDE=100 TARGET_STRIDE=1 LRATE=0.001 GAMMA=10 TAU_KL=100000 MODE_DECAY=4 DECAY_STEP_START=10000 DECAY=2000 ADAPTIVE_DECAY=20 MC_POINTS=20000 MC_SIGMA=0.5,0.5,0.5,0.5,0.5,0.5 CALC_MC_ERR=0 MC_CONVERGENCE_TEST=0 L2_weight=0.2 SERIAL CALC_RCT ... NN_VES