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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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Bibliographic Details
Published in:Patterns (New York, N.Y.) N.Y.), 2022-06, Vol.3 (6), p.100527-100527, Article 100527
Main Author: Xu, Zhiping
Format: Article
Language:English
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Summary: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. 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.
ISSN:2666-3899
2666-3899
DOI:10.1016/j.patter.2022.100527