New Methods Using Rigorous Machine Learning for Coarse-Grained Protein Folding and Dynamics
2017
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Title
New Methods Using Rigorous Machine Learning for Coarse-Grained Protein Folding and Dynamics
Author
Jumper, John Michael : University of Chicago
Degree Type
Ph.D.
Content Type
Dissertation
Academic Advisor
Keywords
Identifier(s)
DOI: https://doi.org/10.6082/M1BZ647N
Publication Date
2017
Language
English
Licensing
University of Chicago dissertations are covered by copyright.
Record Appears in
Physical Sciences Division > Chemistry
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Record Created
2018-05-10