Advances in Computational Physics for Fusion Applications

Presentations

• Jaime Marian

  Invited-In-person · Invited · Withdrawn

  March 16, 2026, 3:30 PM – March 16, 2026, 4:06 PM

  Presenters

  • Jaime Marian

    • University of California, Los Angeles

  Authors

  • Jaime Marian

    • University of California, Los Angeles

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• Machine learned force fields for molecular dynamics simulation of fusion materials

  Oral-In-person

  March 16, 2026, 4:06 PM – March 16, 2026, 4:18 PM

  Presenters

  • Markus Eisenbach

    • Oak Ridge National Laboratory

  Authors

  • Markus Eisenbach

    • Oak Ridge National Laboratory

  • German Samolyuk

    • Oak Ridge National Laboratory

  • Richard Messerly

  • Eva Zarkadoula

    • Oak Ridge National Laboratory

  • Lauren Nuckols

    • Oak Ridge National Lab

  • Yury Osetskiy

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• Computational Study of Deuterium Diffusion in Boron PFM

  Oral-In-person

  March 16, 2026, 4:18 PM – March 16, 2026, 4:30 PM

  Presenters

  • Shafat Mubin

    • Valdosta State University

  Authors

  • Shafat Mubin

    • Valdosta State University

  • Edward Rios

    • Valdosta State University

  • Stephane Ethier

    • Princeton Plasma Physics Laboratory, Princeton, USA

  • Hanna Schamis

    • Princeton Plasma Physics Laboratory (PPPL)

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• Investigating Ice Defects Mobility under an External Bias Potential

  Oral-In-person

  March 16, 2026, 4:30 PM – March 16, 2026, 4:42 PM

  Publication: 1. Mannino, A. et al. First-Principles Nanocapacitor Simulations of the Optical Dielectric Constant in Water Ice. Preprint at https://doi.org/10.48550/arXiv.2506.23003 (2025).
  
  2. Computational Characterization of Ice/Au Interfaces: Investigating Polarization and Electrochemical Properties under External Bias Potential (planned paper)

  Presenters

  • Graciele Arvelos

    • Institute of Theoretical Physics

  Authors

  • Graciele Arvelos

    • Institute of Theoretical Physics

  • Alexandre Rocha

  • Lucas de Miranda

    • UNESP

  • Luana Pedroza

    • Institute of Physics - University of Sao Paulo

  • Anthony Mannino

    • Stony Brook University (SUNY)

  • Marivi Fernadez-Serra

    • Stony Brook University

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• Self-Diffusion of Point Defects in Hexagonal Ice using Machine Learning Interatomic Potentials

  Oral-In-person

  March 16, 2026, 4:42 PM – March 16, 2026, 4:54 PM

  Publication: Lucas T. S. de Miranda, Márcio S. Gomes-Filho, Mariana Rossi, Luana S. Pedroza, Alexandre R. Rocha, Hexagonal ice density dependence on interatomic distance changes due to nuclear quantum effects, J. Chem. Phys. 163, 094503 (2025).
  Lucas T. S. de Miranda, Mariana Rossi, Luana S. Pedroza, Alexandre R. Rocha, Self-diffusion of point deffects in ice using machine learning methods (in preparation)

  Presenters

  • Alexandre Rocha

    • Instituto de Fisica Teorica - UNESP

  Authors

  • Alexandre Rocha

    • Instituto de Fisica Teorica - UNESP

  • Lucas de Miranda

    • UNESP

  • Luana Pedroza

    • Institute of Physics - University of Sao Paulo

  • Mariana Rossi

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