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Michael P. Brenner, Ph.D.

Affiliations: 
School of Engineering and Applied Sciences Harvard University, Cambridge, MA, United States 
Area:
Fluid Mechanics
Website:
http://www.deas.harvard.edu/brenner/Home.html
Google:
"Michael Brenner"
Bio:

http://www.genealogy.math.ndsu.nodak.edu/id.php?id=76788

Mean distance: 12.26
 		SNBCP
Cross-listing: Fluid Dynamics and Combustion Tree

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Parents

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Leo Phillip Kadanoff grad student 1994 Chicago

Children

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Nicholas L. Cuccia grad student 2018- Harvard
Meredith Diane Betterton grad student 2000 Harvard
Todd M. Squires grad student 2002 Harvard (Chemistry Tree)
Haoyu H. Chen grad student 2005 Harvard
Eric Lauga grad student 2005 Harvard
Srinivas Paruchuri grad student 2007 Harvard
Natalie Arkus grad student 2009 Harvard
Lucy J. Colwell grad student 2010 Harvard
Madhav Mani grad student 2010 Harvard
Sahand Hormoz grad student 2011 Harvard
Naveen N. Sinha grad student 2013 Harvard
Niall M. Mangan grad student 2008-2013 Harvard
Yu Qin grad student 2014 Harvard
Hidenori Tanaka grad student 2014-2018 Harvard
Chrisy Xiyu Du post-doc 2018-2022 Harvard
Krishna Shrinivas post-doc 2020-2023 Harvard (Chemistry Tree)

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Publications

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Kimchi O, Brenner MP, Colwell LJ. (2023) Nucleic Acid Structure Prediction Including Pseudoknots Through Direct Enumeration of States: A User's Guide to the LandscapeFold Algorithm. Methods in Molecular Biology (Clifton, N.J.). 2586: 49-77
Dillavou S, Bar-Sinai Y, Brenner MP, et al. (2022) Beyond quality and quantity: Spatial distribution of contact encodes frictional strength. Physical Review. E. 106: L033001
Du CX, Zhang HA, Pearson TG, et al. (2022) Programming interactions in magnetic handshake materials. Soft Matter
Shrinivas K, Brenner MP. (2021) Phase separation in fluids with many interacting components. Proceedings of the National Academy of Sciences of the United States of America. 118
McKeown R, Ostilla-Mónico R, Pumir A, et al. (2020) Turbulence generation through an iterative cascade of the elliptical instability. Science Advances. 6: eaaz2717
Falk MJ, Duwel A, Colwell LJ, et al. (2019) Collagen-Inspired Self-Assembly of Twisted Filaments. Physical Review Letters. 123: 238102
Niu R, Du CX, Esposito E, et al. (2019) Magnetic handshake materials as a scale-invariant platform for programmed self-assembly. Proceedings of the National Academy of Sciences of the United States of America
Kimchi O, Cragnolini T, Brenner MP, et al. (2019) A Polymer Physics Framework for the Entropy of Arbitrary Pseudoknots. Biophysical Journal. 117: 520-532
McCloskey K, Taly A, Monti F, et al. (2019) Using attribution to decode binding mechanism in neural network models for chemistry. Proceedings of the National Academy of Sciences of the United States of America
Kimchi O, Cragnolini T, Garmann R, et al. (2019) RNA Structure and Kinetics Including Pseudoknots through Complete Landscape Enumeration Biophysical Journal. 116: 353a-354a
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