luigibonati / mlcolvarLinks
A unified framework for machine learning collective variables for enhanced sampling simulations
☆134Updated last week
Alternatives and similar repositories for mlcolvar
Users that are interested in mlcolvar are comparing it to the libraries listed below
Sorting:
- Supporting material for the paper "Data driven collective variables for enhanced sampling"☆20Updated last year
- ☆78Updated last year
- AI-enhanced computational chemistry☆131Updated last month
- ☆158Updated last year
- train and use graph-based ML models of potential energy surfaces☆119Updated last month
- Efficient And Fully Differentiable Extended Tight-Binding☆114Updated 2 weeks ago
- Development versions of the g-xTB method. Final implementation will not happen here but in tblite (https://github.com/tblite/tblite).☆125Updated 5 months ago
- The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for organic molecules.☆68Updated 3 years ago
- MACE-OFF23 models☆59Updated last year
- A collection of Neural Network Models for chemistry☆179Updated last month
- ASH is a Python-based computational chemistry and QM/MM environment, primarily for molecular calculations in the gas phase, explicit sol…☆98Updated last week
- A Python software package for saddle point optimization and minimization of atomic systems.☆129Updated 2 weeks ago
- An open source Python framework for transition interface and path sampling calculations.☆116Updated last month
- Particle-mesh based calculations of long-range interactions in PyTorch☆70Updated last week
- Reweighted Autoencoded Variational Bayes for Enhanced Sampling (RAVE)☆45Updated 5 years ago
- The Nutmeg machine learning models☆11Updated last year
- “Ab initio thermodynamics of liquid and solid water” Bingqing Cheng, Edgar A. Engel, JÖrg Behler, Christoph Dellago and Michele Ceriotti…☆31Updated 5 years ago
- MLP training for molecular systems☆55Updated 2 weeks ago
- Reference implementation of "SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects"☆85Updated 3 years ago
- An object-aware diffusion model for generating chemical reactions☆143Updated last year
- Atoms In Molecules Neural Network Potential☆107Updated 6 years ago
- ☆52Updated 3 years ago
- High level API for using machine learning models in OpenMM simulations☆141Updated last week
- Martini 3 small molecule database☆69Updated 4 months ago
- ORCA Python Interface☆114Updated this week
- Official implementation of DeepDFT model☆87Updated 2 years ago
- Force fields produced by the Open Force Field Initiative☆175Updated 3 weeks ago
- tmQM dataset files☆63Updated 10 months ago
- Generate input parameters and coordinates for atomistic and coarse-grained simulations of polymers, ssDNA, and carbohydrates☆182Updated last month
- Generate and predict molecular electron densities with Euclidean Neural Networks☆49Updated 2 years ago