Simulating chemical reactivity using machine learning potentials and umbrella sampling
Dynamic simulations of reactions enable prediction of mechanisms and explanation of chemical phenomena. Traditional methods of simulation include ab initio molecular dynamics (AIMD), which is generally accurate but expensive, and force field methods, which are fast but often unsuitable for exploring...
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Format: | Thesis |
Language: | English |
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2024
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