Andrea J. Liu
Affiliations: | Chemistry | University of Pennsylvania, Philadelphia, PA, United States |
Area:
soft matter physicsWebsite:
http://webdev.chem.upenn.edu/chem/research/faculty.php?id=56Google:
"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 | S | N | B | C | P |
Cross-listing: Chemistry Tree
Parents
Sign in to add mentor| 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
Sign in to add trainee| Tarun Raheja | grad student | Penn | |
| Sean Alexander Ridout | grad student | ||
| 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
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Publications
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| Tah I, Haertter D, Crawford JM, et al. (2023) Minimal vertex model explains how the amnioserosa avoids fluidization during dorsal closure. Arxiv |
| Tah I, Haertter D, Crawford JM, et al. (2023) Minimal vertex model explains how the amnioserosa avoids fluidization during dorsal closure. Biorxiv : the Preprint Server For Biology |
| Xiao H, Zhang G, Yang E, et al. (2023) Identifying microscopic factors that influence ductility in disordered solids. Proceedings of the National Academy of Sciences of the United States of America. 120: e2307552120 |
| 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 |
| Ridout SA, Rocks JW, Liu AJ. (2022) Correlation of plastic events with local structure in jammed packings across spatial dimensions. Proceedings of the National Academy of Sciences of the United States of America. 119: e2119006119 |
| 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 |