n2p2 - A Neural Network Potential Package
☆245Mar 17, 2025Updated last year
Alternatives and similar repositories for n2p2
Users that are interested in n2p2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- libAtoms/QUIP molecular dynamics framework: https://libatoms.github.io☆398Jul 5, 2026Updated 2 weeks ago
- An open-source Python package for creating fast and accurate interatomic potentials.☆358Jul 7, 2026Updated last week
- DScribe is a python package for creating machine learning descriptors for atomistic systems.☆471Apr 18, 2026Updated 3 months ago
- Software for generating machine-learning interatomic potentials for LAMMPS☆188Oct 17, 2025Updated 9 months ago
- A... M... L...☆54Feb 18, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Atomic interaction potentials based on artificial neural networks☆128Apr 16, 2026Updated 3 months ago
- A scalable and versatile library to generate representations for atomic-scale learning☆83Jan 11, 2024Updated 2 years ago
- Benchmark Suite for Machine Learning Interatomic Potentials for Materials☆115Feb 22, 2022Updated 4 years ago
- Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.☆464Updated this week
- SchNetPack - Deep Neural Networks for Atomistic Systems☆932Updated this week
- sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model☆168Jun 13, 2025Updated last year
- A deep learning package for many-body potential energy representation and molecular dynamics☆1,985Updated this week
- i-PI: a universal force engine☆309Updated this week
- NequIP is a code for building E(3)-equivariant interatomic potentials☆945Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for training PhysNet models☆117Oct 16, 2022Updated 3 years ago
- TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentia…☆552Jul 6, 2026Updated 2 weeks ago
- SIMPLE-NN(SNU Interatomic Machine-learning PotentiaL packagE – version Neural Network)☆48Jan 27, 2022Updated 4 years ago
- A Python library for building atomic neural networks☆129Jun 29, 2026Updated 3 weeks ago
- Implementation of a machine learned density functional☆38Jun 17, 2024Updated 2 years ago
- A grain boundary generation code