learningmatter-mit / Atomistic-Adversarial-Attacks
Code for performing adversarial attacks on atomistic systems using NN potentials
☆36Updated 2 years ago
Alternatives and similar repositories for Atomistic-Adversarial-Attacks:
Users that are interested in Atomistic-Adversarial-Attacks are comparing it to the libraries listed below
- A Newtonian message passing network for deep learning of interatomic potentials and forces☆40Updated last month
- Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting☆31Updated last year
- an interface to semi-empirical quantum chemistry methods implemented with pytorch☆47Updated last month
- [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"☆29Updated 3 months ago
- GemNet model in TensorFlow, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)☆25Updated last year
- ☆19Updated 2 years ago
- Example to fit parameters and run CG simulations using TorchMD and Schnet☆43Updated 3 years ago
- AutoTST: A framework to perform automated transition state theory calculations☆37Updated 7 months ago
- Robust NN MD simulator☆20Updated last year
- ☆39Updated 11 months ago
- A software for automating materials science computations☆30Updated last month
- This repo contains the datasets used for the paper The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.☆18Updated 2 years ago
- The architector python package - for 3D metal complex design. C22085☆42Updated last week
- Automated reaction discovery and dataset generation with the growing string method☆19Updated 5 years ago
- Reference implementation of "SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects"☆70Updated 2 years ago
- Basis set optimization library for quantum chemistry☆34Updated last year
- fast functionalisation of molecules☆36Updated 3 years ago
- A fully featured ASE calculator for xTB☆17Updated 5 months ago
- A framework for using topological data analysis to extract structure/symmetry from scientific systems.☆25Updated 2 years ago
- ☆31Updated 4 years ago
- Contrastive pretraining to learn chemical reaction representations (RxnRep) for downstream tasks.☆32Updated 2 years ago
- Moment Invariants Local Atomic Descriptor☆31Updated 7 months ago
- Automated workflow for generating quantum chemistry calculation of explicitly solvated molecules☆50Updated 3 weeks ago
- Alchemical machine learning interatomic potentials☆14Updated 4 months ago
- Data and scripts for comprehensive benchmark of conformer relative energies☆23Updated 4 years ago
- PyTorch Autodiff DFT-D4 Implementation.☆19Updated 2 weeks ago
- N-Dimensional MD engine with symmetry group constraints written in C☆47Updated 7 months ago
- Training and evaluating machine learning models for atomistic systems.☆25Updated this week
- Training Neural Network potentials through customizable routines in JAX.☆23Updated last month
- ☆22Updated 4 months ago