Benjamin Nebgen
About
Benjamin Nebgen has authored 40 papers that have received a total of 1.9k indexed citations.
This includes 26 papers in Materials Chemistry, 17 papers in Computational Theory and Mathematics and 16 papers in Atomic and Molecular Physics, and Optics. The topics of these papers are Machine Learning in Materials Science (22 papers), Computational Drug Discovery Methods (17 papers) and Protein Structure and Dynamics (15 papers). Benjamin Nebgen is often cited by papers focused on Machine Learning in Materials Science (22 papers), Computational Drug Discovery Methods (17 papers) and Protein Structure and Dynamics (15 papers) and collaborates with scholars based in United States, Argentina and Italy. Benjamin Nebgen's co-authors include Sergei Tretiak, Nicholas Lubbers, Justin S. Smith, Kipton Barros and Olexandr Isayev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Reviews and Journal of the American Chemical Society
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