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#molecular-dynamics News & Analysis

2 articles tagged with #molecular-dynamics. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Mar 46/102
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Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles

Researchers introduce RigidSSL, a new geometric pretraining framework for protein design that improves designability by up to 43% and enhances success rates in protein generation tasks. The two-phase approach combines geometric learning from 432K protein structures with molecular dynamics refinement to better capture protein conformational dynamics.

AINeutralarXiv – CS AI · Apr 64/10
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Equivariant Evidential Deep Learning for Interatomic Potentials

Researchers developed e²IP, a new framework for uncertainty quantification in machine learning interatomic potentials used in molecular dynamics simulations. The method uses equivariant evidential deep learning to model atomic forces and their uncertainty through symmetric covariance tensors that transform properly under rotations.

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