Anna Krylov
Born May 6, 1967, Donetsk, Ukraine (USSR)
Professor, Department of Chemistry, USC
Email:krylov@usc.edu
WWW: external link
B.S./M.Sc. Department of Chemistry, Moscow State University (1990, with honors);
Ph.D. Department of Chemistry, Hebrew University of Jerusalem (1997, summa cum laude).
Elected member of Academia Europaea (2021);
Fellow, Royal Society of Chemistry (2021);
Earle K. Plyler Prize for Molecular Spectroscopy and Dynamics, APS (2020);
Inaugural WiSE Architects of Enduring Change Award (USC, 2020);
Simons Fellow in Theoretical Physics (2018);
Mildred Dresselhaus Award (CUI, Hamburg, 2018);
Mainz Guestprofessorship (Mainz, 2018);
Hanna Reisler Mentoring Award, WiSE, USC (2017);
Phi Kappa Phi Faculty Recognition Award, USC (2016);
American Chemical Society (2015);
INSIGHT Into Diversity Inspiring Women in STEM Award (2015);
Melon Mentoring Award, USC (2013); Coulson Lecturer, UGA (2013);
Lowdin Lecturer, Uppsala (2012);
American Association for the Advancement of Science (2012);
ACS Physical Chemistry Division Award in Theoretical Chemistry (2012);
Bessel Research Award, Humboldt Foundation (2011);
American Physical Society (2011);
Agnes Fay Morgan Research Award, Iota Sigma Pi National Honor Society (2007);
Dirac Medal, World Association of Theoretical and Computational Chemists (2006);
Sloan Research Fellowship Award (2003);
CAREER Award, National Science Foundation (2001);
Dreyfus New Faculty Award (1998);
Landau Prize in Chemistry for outstanding Ph.D. dissertation in Israel (1998);
Kennedy-Leigh Prize for outstanding Ph.D. research (1997);
Fritz Haber Research Center Award for outstanding graduate research (1995);
Israel Chemical Society Prize for outstanding graduate research in chemistry (1995).
Author of:
Important Contributions:
- introduced new approaches to non-dynamical correlation such as spin-flip method
- extended coupled-cluster equation-of-motion methodology to metastable electronic states (resonances)
- developed tools for interfacing electronic structure with experimental observables (spectroscopy modeling, Dyson orbitals, state and transition properties, non-linear optical properties)
- developed algorithms for reduced-cost many-body methods
- elucidated mechanisms of excited-state processes in bioimaging (fluorescent proteins), solar energy (singlet fission), and combustion applications.
- developed efficient C++ tensor library for many-body methods