FMDA/B: Machine-Learned Interatomic Potentials
ORAL · W04 · ID: 3362504
Presentations
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Progress Towards Quantum Accurate Atomistic Simulations of Shock Propagation and Release in DT
ORAL
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Publication: J. X. D'Souza, S.X. Hu, D. I. Mihaylov, V. V. Karasiev, V. N. Goncharov, and S. Zhang, "Designing a Quantum-Accurate Machine-Learning Potential to Enable Large-Scale Simulations of Deuterium Under Shock," Physics of Plasmas (2024) [submitted]
Presenters
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Justin X D'Souza
- University of Rochester
Authors
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Justin X D'Souza
- University of Rochester
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Deyan I Mihaylov
- University of Rochester
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Suxing Hu
- University of Rochester
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Valentin V Karasiev
- University of Rochester
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Valeri N Goncharov
- University of Rochester
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Shuai Zhang
- University of Rochester
- Laboratory for Laser Energetics, University of Rochester
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Supercritcal to Superionic: ACE'ing the response of water, hydrocarbons, and ammonia under shock conditions
ORAL
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Publication: (i) Atomic Cluster Expansion Potential for Large Scale Simulations of Hydrocarbons Under Shock Compression, J. Chem. Phys. 161, 064303 (2024)
(ii) Accurate and efficient parameterization of an atomic cluster expansion (ACE) potential for ammonia under extreme conditionsPresenters
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Jonathan T Willman
- Los Alamos National Laboratory
Authors
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Jonathan T Willman
- Los Alamos National Laboratory
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Romain Perriot
- Theoretical Division, Los Alamos National Laboratory
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Christopher C Ticknor
- Los Alamos National Laboratory (LANL)
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TATB under Dynamics Compression from Machine Leaning Simulations
ORAL
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Presenters
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Huy Pham
- Lawrence Livermore National Laboratory
Authors
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Huy Pham
- Lawrence Livermore National Laboratory
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Nir Goldman
- Lawrence Livermore National Laboratory
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Laurence E. Fried
- Lawrence Livermore National Laboratory
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Atomistic modelling of the orientation dependence of shock-induced phase transitions in tin
ORAL
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Presenters
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Marti Puig Fantauzzi
- University of Oxford
Authors
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Marti Puig Fantauzzi
- University of Oxford
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Marti Puig Fantauzzi
- University of Oxford
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Daniel E Eakins
- University of Oxford
- Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom
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Antoine Jerusalem
- University of Oxford
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Simon Wilkinson
- AWE
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Mashroor S Nitol
- Los Alamos National Laboratory
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Patrick G Heighway
- University of Oxford
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Data-Driven Dynamics: Machine Learned Interatomic Potential for Simulating Materials Under Extreme Shock Conditions
ORAL
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Presenters
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Jared K Averitt
- Los Alamos National Laboratory
Authors
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Jared K Averitt
- Los Alamos National Laboratory
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Chun-Shang Wong
- Los Alamos National Laboratory (LANL)
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Eric N Loomis
- Los Alamos National Laboratory (LANL)
- Los Alamos National Laboratory
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Nicholas Sirica
- Los Alamos National Laboratory (LANL)
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David S Montgomery
- Los Alamos National Laboratory (LANL)
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Pawel Kozlowski
- Los Alamos National Laboratory
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Tyler Eastmond
- HPCAT, X-ray Science Division, Argonne National Laboratory
- Argonne National Laboratory
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Rohit Berlia
- Arizona State University
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Shruti Sharma
- State Univ of NY - Stony Brook
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Jagannathan Rajagopalan
- Arizona State University
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Pedro Peralta
- Arizona State University
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Pinaki Das
- Washington State University
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Adam Schuman
- Washington State University
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Nicholas Sinclair
- Washington State University
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Richard Alma Messerly
- Los Alamos National Laboratory (LANL)
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Nicholas E Lubbers
- Los Alamos National Laboratory (LANL)
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Travis Jones
- Los Alamos National Laboratory (LANL)
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Kipton Marcos Barros
- Los Alamos National Laboratory (LANL)
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Sergei Tretiak
- Los Alamos National Laboratory (LANL)
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Bejamin T Nebgen
- Los Alamos National Laboratory (LANL)
- Los Alamos National Laboratory
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