First Principles Modeling of Excited-State Phenomena in Materials: Materials and Applications
FOCUS · K59 · ID: 2155728
Presentations
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Extensive benchmarking of DFT + ab initio U calculations for predicting band gaps and optical properties
ORAL · Invited
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Publication: [1] Kirchner-Hall N. E., Zhao W., Xiong Y., Timrov I., Dabo I., Extensive benchmarking of DFT+ calculations for predicting band gaps, Applied Sciences 11, 2395 (2021). DOI: 10.3390/app11052395
[2] E. Linscott, N. Colonna, R. De Gennaro, N. L. Nguyen, G. Borghi, A. Ferretti, I. Dabo, N. Marzari, koopmans: An open-source package for accurately and efficiently predicting spectral properties with Koopmans functionals, Journal of Chemical Theory and Computation, in press (2023). DOI: 10.1021/acs.jctc.3c00652Presenters
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Ismaila Dabo
Pennsylvania State University, Penn State
Authors
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Ismaila Dabo
Pennsylvania State University, Penn State
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Nonhomogeneous ultrafast dynamics of anti- and ferromagnetic transient metallic states formation in pulse-excited monoclinic vanadium sesquioxide
ORAL
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Presenters
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Volodymyr Turkowski
University of Central Florida
Authors
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Volodymyr Turkowski
University of Central Florida
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Jia Shi
University of Central Florida
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Talat S Rahman
University of Central Florida
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Photogalvanic effect in multiferroic breathing Kagome lattice
ORAL
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Presenters
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Haonan Wang
Washington University in St. Louis
Authors
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Haonan Wang
Washington University in St. Louis
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Li Yang
Washington University, St. Louis
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Unraveling Optical Pico-polarization of Zinc-Blend Materials
ORAL
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Presenters
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Sathwik Bharadwaj
Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana, USA
Authors
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Sathwik Bharadwaj
Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana, USA
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Zubin Jacob
Purdue University, Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana, USA
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Predicting the color polymorphism of ROY using optimally-tuned screened range-separated hybrid functionals
ORAL
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Presenters
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Michal Hartstein
Weizmann Institute of Science
Authors
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Michal Hartstein
Weizmann Institute of Science
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Guy Ohad
Weizmann Institute of Science
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Leeor Kronik
Weizmann Institute of Science
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Ab Initio Design Principles for Excited-State Desorption in Heterogeneous Catalysis
ORAL
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Presenters
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Aaron R Altman
Stanford University
Authors
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Aaron R Altman
Stanford University
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Felipe H da Jornada
Stanford University
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Using ground-state and excited-state DFT to decipher 3d dopant defects in GaN
ORAL
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Presenters
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Peter A Schultz
Sandia National Laboratories
Authors
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Peter A Schultz
Sandia National Laboratories
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Jesse J Lutz
Sandia National Laboratories
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Many-body effects on the ground-state properties of monolayer 1T' WTe<sub>2</sub>
ORAL
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Presenters
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Jinyuan Wu
Yale University
Authors
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Jinyuan Wu
Yale University
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BOWEN HOU
Yale University
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Diana Y Qiu
Yale University
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Band structure and excitonic properties of monolayer WSe<sub>2</sub> in an all-electron QSGW^ approach
ORAL
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Presenters
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Niloufar Dadkhah
Case Western Reserve University
Authors
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Niloufar Dadkhah
Case Western Reserve University
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Walter R L Lambrecht
Case Western Reserve University
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Probabilistic forecast of nonlinear dynamical systems with uncertainty quantification
ORAL
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Publication: Mengyang Gu, Yizi Lin, Victor Chang Lee, Diana Y. Qiu, Probabilistic forecast of nonlinear dynamical systems with uncertainty quantification, Physica D: Nonlinear Phenomena, 2023,133938, ISSN 0167-2789, https://doi.org/10.1016/j.physd.2023.133938.
Presenters
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Yizi Lin
University of California, Santa Barbara
Authors
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Yizi Lin
University of California, Santa Barbara
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Mengyang Gu
University of California, Santa Barbara
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Diana Y Qiu
Yale University
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Victor C Lee
Yale University
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Breaking barriers: A machine learning approach to efficiently explore the free energy surface of protein-surface systems
ORAL
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Presenters
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Varun Gopal
University of Minnesota - Twin Cities
Authors
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Varun Gopal
University of Minnesota - Twin Cities
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Sapna Sarupria
University of Minnesota
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Salman bin Kashif
Clemson University
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A Novel Machine Learning Framework for More Accurate Coarse Grained Free Energy Models
ORAL
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Presenters
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Blake R Duschatko
Harvard University
Authors
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Blake R Duschatko
Harvard University
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Xiang Fu
Massachusetts Institute of Technology MI
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Cameron J Owen
Harvard University
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Yu Xie
Harvard University
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Albert Musaelian
Harvard University
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Tommi S Jaakkola
Massachusetts Institute of Technology
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Boris Kozinsky
Harvard University
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Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms
ORAL
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Publication: C. J. Owen, N. Marcella, Y. Xie, J. Vandermause, A. I. Frenkel, R. G. Nuzzo, and B. Kozinsky, arXiv preprint arXiv:2306.00901 (2023).
C. J. Owen, Y. Xie, A. Johansson, L. Sun, and B. Kozinsky, arXiv preprint arXiv:2308.07311 (2023).
C. J. Owen, S. B. Torrisi, Y. Xie, S. Batzner, K. Bystrom J. Coulter, A. Musaelian, L. Sun, and B. Kozinsky, arXiv preprint arXiv:2302.12993 (2023).
A. Johansson, Y. Xie, C. J. Owen, J. S. Lim, L. Sun, J. Vandermause, and B. Kozinsky, arXiv preprint arXiv:2204.12573 (2022).
C. J. Owen, A. Naghdi, A. Johansson, D. Massa, S. Papanikolaou, and B. Kozinsky. In Preparation (2023).Presenters
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Cameron J Owen
Harvard University
Authors
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Cameron J Owen
Harvard University
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Anders Johansson
Harvard University
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Yu Xie
Harvard University
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Boris Kozinsky
Harvard University
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