Physical scientist or a data scientist? A journey between disciplines

In a recent publication in Patterns, Zhiping Xu, a group leader at Tsinghua University, China, and his team developed a machine learning approach to unveil the conformational complexities of 2D macromolecules by including the insights of physics and topology. Xu talks about the role of data science...

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Detalles Bibliográficos
Autor principal: Xu, Zhiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
People of Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214319/
https://www.ncbi.nlm.nih.gov/pubmed/35755865
http://dx.doi.org/10.1016/j.patter.2022.100527
Descripción
Sumario:In a recent publication in Patterns, Zhiping Xu, a group leader at Tsinghua University, China, and his team developed a machine learning approach to unveil the conformational complexities of 2D macromolecules by including the insights of physics and topology. Xu talks about the role of data science in his research and the ongoing process of turning into a data scientist.

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