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computational chemistryPhys Org
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78% Informative
Researchers from Berlin and Google DeepMind have developed a novel machine learning algorithm that enables highly accurate simulations of the dynamics of a single or multiple molecule on long time-scales.
These simulations are important to understand the properties of molecules and materials and have potential applications in drug development and material design.
More information: J. Thorben Frank et al , A Euclidean transformer for fast and stable machine learned force fields, Nature Communications ( 2024 ). DOI: 10.1038 /s41467-024-50620-6 Provided by Technical University of BerlinThis story was originally published on Phys.org . Subscribe to our newsletter for the latest sci-tech news updates..
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