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learningmatter-mit/NeuralForceField

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293 نجوم·61 تفرعات·Jupyter Notebook·MIT·10 مشاهدات

NeuralForceField

The Neural Force Field (NFF) code is an API based on SchNet [1-4], DimeNet [5], PaiNN [6-7] and DANN [8]. It provides an interface to train and evaluate neural networks for force fields. It can also be used as a property predictor that uses both 3D geometries and 2D graph information [9].

Features

  • Interatomic Potentials - PyTorch-based neural network force field implementation.

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بدائل مفتوحة المصدر لـ NeuralForceField

مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع NeuralForceField.
  • lammps/lammpsالصورة الرمزية لـ lammps

    lammps/lammps

    2,783عرض على GitHub↗

    This project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements of atoms and molecules. It functions as an interatomic potential framework for calculating forces between particles and a materials analysis tool for computing thermodynamic, structural, and transport properties of solids and fluids. The engine is distinguished by its high-performance computing capabilities, utilizing spatial-domain decomposition and message-passing interface communication to distribute workloads across processors. It supports multi-backend GPU acceleration v

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  • acesuit/acefit.jlالصورة الرمزية لـ ACEsuit

    ACEsuit/ACEfit.jl

    8عرض على GitHub↗

    Generic Codes for Fitting ACE models

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  • acesuit/maceالصورة الرمزية لـ ACEsuit

    ACEsuit/mace

    1,253عرض على GitHub↗

    MACE - Table of contents - About MACE - Documentation - Installation - pip installation - pip installation from source - Usage - Training - Evaluation - Tutorials - CUDA acceleration with cuEquivariance - Weights and Biases for experiment tracking - Pretrained Foundation Models - MACE-MP:…

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  • acesuit/ace1.jlالصورة الرمزية لـ ACEsuit

    ACEsuit/ACE1.jl

    23عرض على GitHub↗

    Notes: This is currently a development branch of ACE (though we are still tagging versions regularly). For the latest stable version see DEV-v0.8.x Preliminary Documentation, WIP.

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عرض جميع البدائل الـ 30 لـ NeuralForceField→

الأسئلة الشائعة

ما هي وظيفة learningmatter-mit/neuralforcefield؟

The Neural Force Field (NFF) code is an API based on SchNet [1-4], DimeNet [5], PaiNN [6-7] and DANN [8]. It provides an interface to train and evaluate neural networks for force fields. It can also be used as a property predictor that uses both 3D geometries and 2D graph information [9].

ما هي الميزات الرئيسية لـ learningmatter-mit/neuralforcefield؟

الميزات الرئيسية لـ learningmatter-mit/neuralforcefield هي: Interatomic Potentials.

ما هي البدائل مفتوحة المصدر لـ learningmatter-mit/neuralforcefield؟

تشمل البدائل مفتوحة المصدر لـ learningmatter-mit/neuralforcefield: lammps/lammps — This project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements… acesuit/acefit.jl — Generic Codes for Fitting ACE models. acesuit/mace — MACE - Table of contents - About MACE - Documentation - Installation - pip installation - pip installation from source… aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network… apax-hub/apax — apax[^1][^2] is a high-performance, extendable package for training of and inference with atomistic neural networks.… acesuit/ace1.jl — Notes: This is currently a development branch of ACE (though we are still tagging versions regularly). For the latest…