☰

Pablo G. Debenedetti

Affiliations: 
Engineering and Applied Science Princeton University, Princeton, NJ 
Area:
condensed matter
Website:
http://www.princeton.edu/cbe/people/faculty/debenedetti/
Google:
"Pablo G. Debenedetti"
Bio:

http://pablonet.princeton.edu/pgd/index.html
http://hdl.handle.net/1721.1/26787 Thesis Supervisors : Dr. Robert C. Reid; Dr. Ulrich W. Suter

Mean distance: 8.88
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Cross-listing: Physics Tree

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Parents

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Robert C. Reid grad student 1985 MIT
 (Diffusion and mass transfer in supercritical fluids)
Ulrich W. Suter grad student 1985 MIT

Children

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Swaroop Chatterjee grad student Princeton
Rahoma Sadeg Mohamed grad student 1989-1990 Universidade Estadual de Campinas, UNICAMP, Brasil.
Jean W Tom grad student 1989-1993 Princeton
Steven S. Borick grad student 1995 Princeton (Physics Tree)
David S. Corti grad student 1991-1996 Princeton (E-Tree)
Janna K. Maranas grad student 1997 Princeton (E-Tree)
Christopher Roberts grad student 1994-1999 Princeton
Jane O. Werling grad student 2001 Princeton
Thomas Michael Truskett grad student 1996-2001 Princeton
Vincent K. Shen grad student 2003 Princeton
Sau L. Lee grad student 2006 Princeton
Thomas G. Lombardo grad student 2010 Princeton
Y Z grad student 2010 Princeton (Physics Tree)
Theresa Y. Cho grad student 2012 Princeton
Santiago Romero-Vargas Castrillon grad student 2012 Princeton
Harold W. Hatch grad student 2014 Princeton
Zane Shi grad student 2014 Princeton
Kevin B. Daly grad student 2015 Princeton
Francesco Ricci grad student 2010-2016 Princeton
Jeffrey R. Errington post-doc 1999-2001 Princeton
Rakesh S. Singh post-doc 2014-2016 Princeton

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Publications

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Piaggi PM, Selloni A, Panagiotopoulos AZ, et al. (2023) A first-principles machine-learning force field for heterogeneous ice nucleation on microcline feldspar. Faraday Discussions
Gartner TE, Piaggi PM, Car R, et al. (2023) Liquid-Liquid Transition in Water from First Principles. Physical Review Letters. 129: 255702
Piaggi PM, Weis J, Panagiotopoulos AZ, et al. (2022) Homogeneous ice nucleation in an ab initio machine-learning model of water. Proceedings of the National Academy of Sciences of the United States of America. 119: e2207294119
Weis J, Sciortino F, Panagiotopoulos AZ, et al. (2022) Liquid-liquid criticality in the WAIL water model. The Journal of Chemical Physics. 157: 024502
Gartner TE, Hunter KM, Lambros E, et al. (2022) Anomalies and Local Structure of Liquid Water from Boiling to the Supercooled Regime as Predicted by the Many-Body MB-pol Model. The Journal of Physical Chemistry Letters. 13: 3652-3658
Gartner TE, Torquato S, Car R, et al. (2021) Manifestations of metastable criticality in the long-range structure of model water glasses. Nature Communications. 12: 3398
Piaggi PM, Panagiotopoulos AZ, Debenedetti PG, et al. (2021) Phase Equilibrium of Water with Hexagonal and Cubic Ice Using the SCAN Functional. Journal of Chemical Theory and Computation
Gartner TE, Zhang L, Piaggi PM, et al. (2020) Signatures of a liquid-liquid transition in an ab initio deep neural network model for water. Proceedings of the National Academy of Sciences of the United States of America
Debenedetti PG, Sciortino F, Zerze GH. (2020) Second critical point in two realistic models of water. Science (New York, N.Y.). 369: 289-292
Kozuch DJ, Ristroph K, Prud'homme RK, et al. (2020) Insights into Hydrophobic Ion Pairing from Molecular Simulation and Experiment. Acs Nano
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