Microsoft Researchers Propose ViSNet: An Equivariant Geometry-Enhanced Graph Neural Network for Predicting Molecular Properties and Simulating Molecular Dynamics

Researchers from Microsoft attempt to solve the challenge faced in predicting molecular properties and simulating molecular dynamics by presenting a method, ViSNet, that results in more accurate predictions. Predicting molecular properties is crucial for understanding structure-activity relationships (SAR) in drug discovery, biotechnology, and materials science. Existing molecular dynamics (MD) simulations have been used to track […]

The post Microsoft Researchers Propose ViSNet: An Equivariant Geometry-Enhanced Graph Neural Network for Predicting Molecular Properties and Simulating Molecular Dynamics  appeared first on MarkTechPost …

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