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Michael P Brenner

Showing results (61-70 of 118) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|May 31, 2024
Recurrent flow patterns as a basis for two-dimensional turbulence: Predicting statistics from structuresJacob Page, Peter Norgaard, Michael P Brenner, et al.
Lab on a Chip|March 16, 2017
The microfluidic nebulator: production of sub-micrometer sized airborne dropsEsther Amstad, Frans Spaepen, Michael P Brenner, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 7, 2018
Physical and geometric constraints shape the labyrinth-like nasal cavityDavid Zwicker, Rodolfo Ostilla-Mónico, Daniel E Lieberman, et al.
Physical Review Letters|December 24, 2019
Collagen-Inspired Self-Assembly of Twisted FilamentsMartin J Falk, Amy Duwel, Lucy J Colwell, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 5, 2003
Motility of Escherichia coli cells in clusters formed by chemotactic aggregationNikhil Mittal, Elena O Budrene, Michael P Brenner, et al.
Physical Review. E|October 21, 2022
Beyond quality and quantity: Spatial distribution of contact encodes frictional strengthSam Dillavou, Yohai Bar-Sinai, Michael P Brenner, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 2, 2026
Fitting coarse-grained models to macroscopic experimental data via automatic differentiationRyan K Krueger, Megan C Engel, Ryan Hausen, et al.
Physical Review Letters|November 9, 2016
Pruning to Increase Taylor Dispersion in Physarum polycephalum NetworksSophie Marbach, Karen Alim, Natalie Andrew, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 31, 2013
Random network peristalsis in Physarum polycephalum organizes fluid flows across an individualKaren Alim, Gabriel Amselem, François Peaudecerf, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 26, 2019
Using attribution to decode binding mechanism in neural network models for chemistryKevin McCloskey, Ankur Taly, Federico Monti, et al.
Pageof 12

Showing results (61-70 of 118) with videos related to

Sort By:
Pageof 12
Proceedings of the National Academy of Sciences of the United States of America|May 31, 2024
Recurrent flow patterns as a basis for two-dimensional turbulence: Predicting statistics from structuresJacob Page, Peter Norgaard, Michael P Brenner, et al.
Lab on a Chip|March 16, 2017
The microfluidic nebulator: production of sub-micrometer sized airborne dropsEsther Amstad, Frans Spaepen, Michael P Brenner, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 7, 2018
Physical and geometric constraints shape the labyrinth-like nasal cavityDavid Zwicker, Rodolfo Ostilla-Mónico, Daniel E Lieberman, et al.
Physical Review Letters|December 24, 2019
Collagen-Inspired Self-Assembly of Twisted FilamentsMartin J Falk, Amy Duwel, Lucy J Colwell, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 5, 2003
Motility of Escherichia coli cells in clusters formed by chemotactic aggregationNikhil Mittal, Elena O Budrene, Michael P Brenner, et al.
Physical Review. E|October 21, 2022
Beyond quality and quantity: Spatial distribution of contact encodes frictional strengthSam Dillavou, Yohai Bar-Sinai, Michael P Brenner, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 2, 2026
Fitting coarse-grained models to macroscopic experimental data via automatic differentiationRyan K Krueger, Megan C Engel, Ryan Hausen, et al.
Physical Review Letters|November 9, 2016
Pruning to Increase Taylor Dispersion in Physarum polycephalum NetworksSophie Marbach, Karen Alim, Natalie Andrew, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 31, 2013
Random network peristalsis in Physarum polycephalum organizes fluid flows across an individualKaren Alim, Gabriel Amselem, François Peaudecerf, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 26, 2019
Using attribution to decode binding mechanism in neural network models for chemistryKevin McCloskey, Ankur Taly, Federico Monti, et al.
Pageof 12