Anastassia Alexandrova
American chemist From Wikipedia, the free encyclopedia
American chemist From Wikipedia, the free encyclopedia
Anastassia N. Alexandrova is an American chemist who is a professor at the University of California, Los Angeles. Her research considers the computational design of functional materials.
Anastassia Alexandrova | |
---|---|
Alma mater | Saratov University Utah State University |
Scientific career | |
Institutions | University of California, Los Angeles |
Thesis | Multiply aromatic clusters via ab initio genetic algorithm (2005) |
Website | Alexandrova Lab |
Alexandrova was the Winner of the Russian Regional Student Olympiad in Chemistry in 2000.[1] She attended the Saratov State University for her undergraduate studies, where she was awarded a scholarship from the Government of Russia for outstanding performance in science. She moved to the United States for her graduate studies at Utah State University, where she studied aromatic clusters using Ab initio genetic algorithms.[2] In particular, she developed the Gradient Embedded genetic Algorithm (GEGA) to identify the minima of atomic clusters.[2][3] After earning her doctorate, Alexandrova moved to Yale University, where she joined the laboratory of William L. Jorgensen. She also worked in the laboratory of John C. Tully where she studied the photochemistry of DNA fragments.[4][5]
Alexandrova was appointed to the faculty at the University of California, Los Angeles in 2010.[1] She develops multi-scale modeling methods to better understand novel functional materials.[1] The materials considered by Alexandrova included quantum dots, artificial metalloenzymes, heterogeneous catalysis and ultra hard alloys.[6] She makes use of various computational models, including density functional theory, molecular dynamics and ab initio quantum chemistry methods. Alexandrova spent 2016 as a Fulbright Program scholar at the École Normal Supérieure where she focused on computational catalysis.[7]
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