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Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-021-04456-5
Abstract: Despite decades of theoretical research, the nature of the self-driven collective motion remains indigestible and controversial, while the phase transition process of its dynamic is a major research issue. Recent methods propose to infer the…
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Keywords:
self driven;
learning self;
graph networks;
driven collective ... See more keywords
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Published in 2017 at "Soft matter"
DOI: 10.1039/c7sm00999b
Abstract: Controlling the phases of matter is a challenge that spans from condensed materials to biological systems. Here, by imposing a geometric boundary condition, we study the controlled collective motion of Escherichia coli bacteria. A circular…
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Keywords:
driven collective;
ordering bacterial;
collective ordering;
geometry driven ... See more keywords
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Published in 2024 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2416621121
Abstract: Significance While data-driven collective variables (CVs) have been applied to various complex biological problems, such as ligand binding, their transferability across different substrates has not been thoroughly investigated. Here, we show that machine learning-based CVs…
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Keywords:
correlating enzymatic;
data driven;
different substrates;
collective variables ... See more keywords