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deepmodeling avatar

deepmodeling/deepmd-gnn

0
View on GitHub↗
55 stars·9 forks·Python·LGPL-3.0·9 viewsdocs.deepmodeling.com/projects/deepmd-gnn↗

Deepmd Gnn

deepmd-gnn is a DeePMD-kit plugin for various graph neural network (GNN) models, which connects DeePMD-kit and atomistic GNN packages by enabling GNN models in DeePMD-kit.

Features

  • Interatomic Potentials - Graph neural network plugin for potential energy modeling.

Star history

Star history chart for deepmodeling/deepmd-gnnStar history chart for deepmodeling/deepmd-gnn

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Deepmd Gnn

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    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/maceACEsuit avatar

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    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.jlACEsuit avatar

    ACEsuit/ACE1.jl

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    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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Frequently asked questions

What does deepmodeling/deepmd-gnn do?

deepmd-gnn is a DeePMD-kit plugin for various graph neural network (GNN) models, which connects DeePMD-kit and atomistic GNN packages by enabling GNN models in DeePMD-kit.

What are the main features of deepmodeling/deepmd-gnn?

The main features of deepmodeling/deepmd-gnn are: Interatomic Potentials.

What are some open-source alternatives to deepmodeling/deepmd-gnn?

Open-source alternatives to deepmodeling/deepmd-gnn include: 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…