DATA: Models Driven by Experimental Data
FOCUS · K07 · ID: 3364042
Presentations
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Physics-constrained Gaussian Process Regression Equation-of-State Model for Shock Simulations
ORAL · Invited
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Publication: This work builds upon findings published in Sharma et al., APL Mach. Learn. 2, 016102 (2024), https://doi.org/10.1063/5.0165298
Presenters
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Tung Yan Liu
Johns Hopkins University
Authors
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Tung Yan Liu
Johns Hopkins University
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Himanshu Sharma
Johns Hopkins University
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June Ki Wicks
Johns Hopkins University
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Michael D Shields
Johns Hopkins University
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Machine Learning Model based Prediction of Spall Strength of Metals and Alloys
ORAL
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Publication: Keara G. Frawley, Harikrishna Sahu, Naresh N. Thadhani, Rampi Ramprasad, "Machine Learning for Predictive Understanding of Spall Strength of Metals and Alloys," Submitted to Journal of Applied Physics, 2025.
Presenters
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N N Thadhani
Georgia institute of technology
Authors
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N N Thadhani
Georgia institute of technology
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Keara G Frawley
Georgia Institute of Technology
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Harikrishna Sahu
Georgia Institute of Technology
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Rampi Ramprasad
Georgia Institute of Technology
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Evaluation of the methods for Conducting and Analysing 1-shot (Go/No-Go) Experiments
ORAL
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Presenters
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Jack Rice
AWE
Authors
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Jack Rice
AWE
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Rodney C Drake
Atomic Weapons Establishment
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Jonathan C Rougier
AWE
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Matthew Maisey
AWE
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