MACE_Osaka24 models
☆29Apr 15, 2026Updated 5 months ago
Alternatives and similar repositories for mace-osaka24
Users that are interested in mace-osaka24 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆20Apr 15, 2026Updated 5 months ago
- Diffusion models for disordered materials☆23Nov 18, 2025Updated 10 months ago
- ☆28Sep 16, 2026Updated last week
- 🌟 [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics …☆109Jul 2, 2026Updated 2 months ago
- Benchmarking foundation Machine Learning Potentials with Lattice Thermal Conductivity from Anharmonic Phonons☆15Oct 30, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIP…☆107Jan 28, 2026Updated 8 months ago
- QUASAR is an autonomous system for end-to-end scientific discovery, integrating LLMs with simulation tools to automate workflows across q…☆21May 26, 2026Updated 4 months ago
- Phonons from ML force fields☆24Mar 22, 2026Updated 6 months ago
- Quick Uncertainty and Entropy via STructural Similarity☆67Apr 1, 2026Updated 5 months ago
- Tools for geometric learning☆12Sep 26, 2025Updated last year
- The first diffusion model for inorganic materials that explicitly incorporates electronic structure information☆25Aug 4, 2026Updated last month
- Enhanced sampling in the representation space of atomistic neural networks.☆17Sep 21, 2026Updated last week
- OMNI-P2x: A universal neural network potential for excited states☆16Mar 19, 2026Updated 6 months ago
- JAX implementation of the NequIP neural network interatomic potential☆17Feb 24, 2026Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Heat-conductivity benchmark test for foundational machine-learning potentials☆31Jun 28, 2026Updated 3 months ago
- Alchemical machine learning interatomic potentials☆39Nov 8, 2024Updated last year
- BERTOS: transformer for oxidation state prediction☆16Aug 21, 2026Updated last month
- DistMLIP: A Distributed Inference Library for Fast, Large Scale Atomistic Simulation☆98Sep 20, 2025Updated last year
- Collection of tutorials to use the MACE machine learning force field.☆77Sep 8, 2026Updated 2 weeks ago
- CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks☆15May 22, 2026Updated 4 months ago
- A Python implementation of the direct MaxFlux method for transition state search☆45Aug 16, 2026Updated last month
- A benchmark for Large Atomistic Models☆20Sep 21, 2026Updated last week
- Tools for building equivariant polynomials on reductive Lie groups.☆39Jun 29, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆25May 21, 2025Updated last year
- This repository contains neccessary code to train AnisoNet, an equivariant graph neural network for predicting dielectric tensors of crys…☆14Feb 20, 2026Updated 7 months ago
- CUDA implementations of MACE models☆22Aug 19, 2025Updated last year
- A Python package for the creation of input files for CP2K, MACE-torch, MatterSim, SevenNet, ORB and Grace as well as the post-processing …☆26Sep 1, 2026Updated 3 weeks ago
- URL links to phonondb data☆43May 20, 2026Updated 4 months ago
- Automation software for calculating anharmonic phonon properties☆29Aug 19, 2026Updated last month
- ☆62Sep 16, 2026Updated last week
- tools for graph-based machine-learning potentials in jax☆27Apr 9, 2024Updated 2 years ago
- Framework to evaluate UMLFFs on experimental data☆17Jul 25, 2026Updated 2 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- dataset augmentation for atomistic machine learning☆27Nov 21, 2025Updated 10 months ago
- ☆15Feb 17, 2025Updated last year
- Compute neighbor lists for atomistic systems☆86Sep 10, 2026Updated 2 weeks ago
- Sum-of-Gaussians Neural Network (SOG-Net) is a lightweight and versatile framework for integrating long-range interactions into machine l…☆35Dec 23, 2025Updated 9 months ago
- ASE framework for Monte Carlo simulations with machine learned interatomic potentials☆29Updated this week
- Data Science for Materials - Collection of Open Educational Resources☆17Jun 18, 2025Updated last year
- An implementation of SchNet in JAX and JAX-MD.☆17Apr 5, 2022Updated 4 years ago