Machine-learned interatomic potential

Machine-learned interatomic potential – atomic environments feed a neural network that predicts energy and forces

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Machine-learned interatomic potential: atomic environments feed a neural network that predicts energy and forces

Machine-learned interatomic potential illustration showing atomic environments feed a neural network that predicts energy and forces. Handy for explaining neural network potential in chemistry presentations, theses, posters and course notes. Part of the Sciicons Computational Chemistry: Methods & Simulation pack (Pro), delivered as an editable SVG with named layers.

Format: SVG (editable vector). License: Sciicons Pro license. Courtesy: Sciicons. Part of the Computational Chemistry: Methods & Simulation pack.

Keywords: Computational Chemistry: Methods & Simulation Pack, Sciicons Pro, machine learning potential, neural network potential, mlip, computational chemistry, molecular simulation, quantum chemistry

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