Project ID: plumID:25.008
Name: Deep TICA CV from Nonequilibrium Metadynamics using Koopman Reweighting
Archive: https://github.com/dhimanray/Nonequilibrium_DeepTICA/archive/main.zip (browse)
Category: methods
Keywords: metadynamics, OPES, Machine Learning CV, PyTorch, Koopman Reweighting
PLUMED version: 2.10
Contributor: Dhiman Ray
Submitted on: 18 Mar 2025
Publication: J. Hanni, D. Ray, Data Efficient Learning of Molecular Slow Modes from Nonequilibrium Metadynamics (2025)

PLUMED input files

File Compatible with
ala2/opes/plumed.dat tested on v2.10 tested on master
ala2/training/metad_for_training/plumed.dat tested on v2.10 tested on master
chignolin/opes/plumed.dat tested on v2.10 tested on master
chignolin/training/metad_for_training/plumed.dat tested on v2.10 tested on master
…aining/metad_for_training/plumed_ca_descriptor.dat tested on v2.10 tested on master
mueller/opes/plumed.dat tested on v2.10 tested on master
mueller/opes/plumed_no_metad_bias.dat tested on v2.10 tested on master
mueller/training/metad_for_training/plumed.dat tested on v2.10 tested on master

Last tested: 23 Apr 2025, 10:07:13

Project description and instructions
All simulations were performed using the PLUMED-PyTorch interface patched with GROMACS 2024.3.

Submission history
[v1] 18 Mar 2025: original submission

Badge
Click on the image below and get the code to add the badge to your website!
plumeDnest:25.008