Andrea J. Liu

Affiliations: 
Chemistry University of Pennsylvania, Philadelphia, PA, United States 
Area:
soft matter physics
Website:
http://webdev.chem.upenn.edu/chem/research/faculty.php?id=56
Google:
"Andrea Liu"
Bio:

http://www.physics.upenn.edu/people/a.liu.html
http://www.physics.upenn.edu/liugroup/docs/andrea_cv.pdf

Mean distance: 13.07
 
SNBCP
Cross-listing: Chemistry Tree

Parents

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Michael E. Fisher grad student 1989 Cornell
 (Criticality in bulk and semi-infinite systems)
Glenn H. Fredrickson post-doc 1991-1994 UC Santa Barbara (Chemistry Tree)

Children

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Kun-Chun Lee grad student 2008 Penn
Thomas K. Haxton grad student 2010 Penn
Edward J. Banigan grad student 2013 Penn
Rachel Bennett post-doc Penn
Kevin Chiou post-doc Penn
Farshid Jafarpour post-doc Penn
Tristan Sharp post-doc Penn
Indrajit Tah post-doc Penn (Chemistry Tree)
Jennifer M. Schwarz post-doc 2003-2005 Penn
Timon Idema post-doc 2010-2012 Penn
Daniel Sussman post-doc 2012-2016 Penn
BETA: Related publications

Publications

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Tah I, Ridout SA, Liu AJ. (2022) Fragility in glassy liquids: A structural approach based on machine learning. The Journal of Chemical Physics. 157: 124501
Hagh VF, Nagel SR, Liu AJ, et al. (2022) Transient learning degrees of freedom for introducing function in materials. Proceedings of the National Academy of Sciences of the United States of America. 119: e2117622119
Vashisth M, Cho S, Irianto J, et al. (2021) Scaling concepts in 'omics: Nuclear lamin-B scales with tumor growth and often predicts poor prognosis, unlike fibrosis. Proceedings of the National Academy of Sciences of the United States of America. 118
Tah I, Sharp TA, Liu AJ, et al. (2021) Quantifying the link between local structure and cellular rearrangements using information in models of biological tissues. Soft Matter
Landes FP, Biroli G, Dauchot O, et al. (2020) Attractive versus truncated repulsive supercooled liquids: The dynamics is encoded in the pair correlation function. Physical Review. E. 101: 010602
Harrington M, Liu AJ, Durian DJ. (2019) Machine learning characterization of structural defects in amorphous packings of dimers and ellipses. Physical Review. E. 99: 022903
Sharp TA, Merkel M, Manning ML, et al. (2019) Inferring statistical properties of 3D cell geometry from 2D slices. Plos One. 14: e0209892
Monette L, Liu AJ, Grest GS. (2019) Wetting and domain-growth kinetics in confined geometries. Physical Review. a, Atomic, Molecular, and Optical Physics. 46: 7664-7679
Sharp TA, Thomas SL, Cubuk ED, et al. (2018) Machine learning determination of atomic dynamics at grain boundaries. Proceedings of the National Academy of Sciences of the United States of America
Xia Y, Ivanovska IL, Zhu K, et al. (2018) Nuclear rupture at sites of high curvature compromises retention of DNA repair factors. The Journal of Cell Biology
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