In today’s world, the advent of certain technologies has made problem-solving easier. For instance, computational chemistry has enabled rapid resolution of chemical issues, while mathematics and computer tasks have been streamlined. Chemists can simulate experimental outcomes and determine material properties. Additionally, there’s a growing integration of Machine Learning (ML) concepts and algorithms in various fields.
Pavlovska, Y. & Gavrylenko, O. (2023). “Open-Source Machine Learning in Computational Chemistry”. Article Review [version 1] [preprint]. Chemistry.
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