Machine-learning-based data-driven discovery of nonlinear phase-field dynamics is a research paper published in Physical review. E (2022). On theSindex it has a DataRank of 0. It has been cited 14 times.
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National Institutes of Health
Grant: GM133777
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1R35GM133777-01
Biophysical modeling of cis-regulatory complexes in transcription and splicing using massively parallel reporter assays
Canada Research Chairs
Natural Sciences and Engineering Research Council of Canada
FWCI
0.75
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Machine learning based data-driven discovery of nonlinear phase-field dynamics