Center for Nonlinear Studies

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Center for Nonlinear Studies

Galen Craven

Director's Postdoctoral Fellow
T-1/CNLS

Statistical Physics and Chemical Dynamics

Galen Craven

Office: TA-3, Bldg 1690, Room 132
Mail Stop: B258
Phone: (505) 667-1444
Fax: (505) 665-2659

gcraven@lanl.gov
home page

Research highlight

G.T. Craven et al., J. Phys. Chem. Lett. (2020)

My work at CNLS focuses on developing theoretical and computational methods that merge statistical mechanics and machine learning. The overarching goal of my research is to utilize data-driven and machine learning methods to determine thermodynamic properties of complex systems at significantly increased accuracy in comparision to traditional theoretical approaches.

Educational Background/Employment:

2019 - Present : Director's Postdoctoral Fellow, Los Alamos National Laboratory
2015 - 2019 : Postdoctoral Researcher, University of Pennsylvania
Ph.D (2014) Chemistry, Georgia Institute of Technology
B.Sc. (2009) Chemistry, University of North Alabama

Research Interests:

Nonequilibrium Statistical Mechanics
Chemical Dynamics
Machine Learning for Physics and Chemistry Applications
Stochastic Methods

Selected Recent Publications:

G.T. Craven and A. Nitzan, Nano Lett. 20, 2, 989, (2020)
G.T. Craven, N. Lubbers, K. Barros, and S. Tretiak, J. Phys. Chem. Lett. 11, 4372-4378 (2020)
G.T. Craven, D. He, and A. Nitzan, Phys. Rev. Lett. 121, 247704 (2018)
G.T. Craven and A. Nitzan, Phys. Rev. Lett. 118, 207201 (2017)
G.T. Craven and A. Nitzan, Proc. Natl. Acad. Sci. 113, 9421 (2016)
G.T. Craven and R. Hernandez, Phys. Rev. Lett. 115, 148301 (2015)

Full publication list on Google Scholar