Simulation of Defects: Interplay of Structural and Electronic Properties; Metropolis Award Presentation
FOCUS · MAR-C49 · ID: 3104348
Presentations
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Optically excited states of point defects in hexagonal boron nitride
ORAL · Invited
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Publication: [1] A. Kirchhoff, T. Deilmann, P. Krueger, and M. Rohlfing, Phys. Rev. B 106, 045118 (2022).<br>[2] A. Kirchhoff, T. Deilmann, and M. Rohlfing, Phys. Rev. B 109, 085127 (2024).
Presenters
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Michael Rohlfing
University of Muenster
Authors
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Michael Rohlfing
University of Muenster
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Influence of photoexcitation on the oxygen vacancy diffusion in Pr-doped CeO<sub>2</sub>
ORAL
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Presenters
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Vijaya Begum-Hudde
University of Illinois at Urbana-Champaign
Authors
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Vijaya Begum-Hudde
University of Illinois at Urbana-Champaign
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Andre Schleife
University of Illinois at Urbana-Champaign
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Defect and Domain-Wall Engineering on GaN Facets for Enhanced Water Splitting and Hydrogen Production
ORAL
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Presenters
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Shuaishuai Yuan
McGill University
Authors
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Shuaishuai Yuan
McGill University
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Zhanghao Zhouyin
McGill University
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Ding Wang
University of Michigan
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Ding Wang
University of Michigan
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Yuyang Pan
University of Michigan
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Gunther Andersson
Flinders University
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Gregory Metha
University of Adelaide
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Zetian Mi
University of Michigan
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Hong Guo
McGill University
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Influence of Surface Hydrophilicity on the Charge Dynamics of Nitrogen Vacancy Centers
ORAL
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Presenters
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Sirisak Singsen
University of California, Irvine
Authors
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Sirisak Singsen
University of California, Irvine
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Sydney To
Univerisity of California Irvine, University of California, Irvine
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Elizabeth M. Y. Lee
University of California, Irvine
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Tailoring Semiconductor Defect Properties using Multi-fidelity Graph Neural Networks and Active Learning
ORAL
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Publication: 1. M. H. Rahman et al., "Accelerating defect predictions in semiconductors using graph neural networks," APL Machine Learning, 2, 0166122 (2024)
Presenters
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Md Habibur Rahman
Purdue University School of Materials Engineering
Authors
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Md Habibur Rahman
Purdue University School of Materials Engineering
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Arun Kumar Mannodi Kanakkithodi
Purdue University
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Brillouin Zone Sampling in ONETEP
ORAL
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Presenters
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Chengcheng Xiao
Imperial College London
Authors
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Chengcheng Xiao
Imperial College London
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Arash A Mostofi
Imperial College London
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Peter D Haynes
Imperial College London
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Dielectric-Dependent Range-Separated Hybrid Functional Calculations for Metal Oxides
ORAL
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Publication: J. Zhan, M. Govoni, and G. Galli, J. Chem. Theory Comput. (2023).
Presenters
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Jiawei Zhan
University of Chicago
Authors
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Jiawei Zhan
University of Chicago
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Marco Govoni
University of Modena & Reggio Emilia
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Giulia Galli
University of Chicago
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CASSCF for large active spaces using the STP-DAS framework
ORAL
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Presenters
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Shiv Upadhyay
University of Washington
Authors
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Shiv Upadhyay
University of Washington
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Agam Shayit
University of Washington
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Hang Hu
University of Washington
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Rajat Majumder
University of Washington
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Alexandros Peltekis
University of Washington
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Xiaosong Li
University of Washington
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Spectral function calculations for subsidiary-boson methods
ORAL
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Presenters
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Jiaji Ma
Yale University
Authors
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Jiaji Ma
Yale University
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Sohrab Ismail-Beigi
Yale University
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Dielectric loss from defects and impurities
ORAL
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Publication: M. E. Turiansky and C. G. Van de Walle, APL Quantum 1, 026114 (2024).
Presenters
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Mark E Turiansky
University of California, Santa Barbara, Materials Department, University of California, Santa Barbara, CA 93106-5050, U.S.A.
Authors
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Mark E Turiansky
University of California, Santa Barbara, Materials Department, University of California, Santa Barbara, CA 93106-5050, U.S.A.
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Chris G Van de Walle
University of California, Santa Barbara, Materials Department, University of California, Santa Barbara, CA 93106-5050, U.S.A.
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Modelling energy surfaces of defects in solids
ORAL · Invited
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Publication: - Mosquera-Lois, I. & Kavanagh, S. R. In search of hidden defects. Matter (2021).<br>- Mosquera-Lois, I., Kavanagh, S. R., Walsh, A. & Scanlon, D. O. ShakeNBreak: Navigating the defect configurational landscape. Journal of Open Source Software (2022).<br>- Kavanagh et al. doped: Python toolkit for robust and repeatable charged defect supercell calculations. Journal of Open Source Software (2024).<br>- Mosquera-Lois, I., Kavanagh, S. R., Walsh, A. & Scanlon, D. O. Identifying the ground state structures of point defects in solids. npj Comput Mater (2023).<br>- Mosquera-Lois, I., Kavanagh, S. R., Ganose, A. M. & Walsh, A. Machine-learning structural reconstructions for accelerated point defect calculations. npj Comput Mater (2024).<br>- Kavanagh, S. R., Identifying Split Vacancies using Foundational Machine Learning Models. In Submission.
Presenters
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Seán R Kavanagh
Harvard University
Authors
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Seán R Kavanagh
Harvard University
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