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learningmatter-mit/NeuralForceField

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293 स्टार्स·61 फोर्क्स·Jupyter Notebook·MIT·2 व्यूज़

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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NeuralForceField के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो NeuralForceField के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
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NeuralForceField के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

learningmatter-mit/neuralforcefield क्या करता है?

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].

learningmatter-mit/neuralforcefield की मुख्य विशेषताएं क्या हैं?

learningmatter-mit/neuralforcefield की मुख्य विशेषताएं हैं: Interatomic Potentials।

learningmatter-mit/neuralforcefield के कुछ ओपन-सोर्स विकल्प क्या हैं?

learningmatter-mit/neuralforcefield के ओपन-सोर्स विकल्पों में शामिल हैं: 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…