Papers

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Generalizable Neural Network Prediction of Density in Molten Salt Mixtures

1:00–1:20PM CST

J. Barra (Univ. Massachusetts, Lowell), S. Shahbazi (ANL), T. Starkus (ANL), A. Birri (ORNL), P. Balaprakash (ORNL), S.T. Lam (Univ. Massachusetts, Lowell)

Paper

Presentation Slides (Visible to Attendees) — Presentation Slides

Development of Accurate Potential Model for Molten Potassium Chloride Using Machine Learning and Pressure-Based Correction

1:20–1:40PM CST

Lee Hyunseok (Seoul Nat'l Univ.), Takuji Oda (Seoul Nat'l Univ.)

Paper

Friction and Wear of Candidate Metal Alloys for Fluoride Salt Pump Bearing and Shaft Materials

1:40–2:00PM CST

L. Vergari (Univ. California, Berkeley), M. Borrello (Univ. California, Berkeley), Y.J. Xu (Univ. California, Berkeley), R.O. Scarlat (Univ. California, Berkeley)

Paper

Evaluating the Methodology of Static Isothermal Molten Salt Compatibility Experiments

2:00–2:20PM CST

B.A. Pint (ORNL), D. Sulejmanovic (ORNL), Y.-F. Su (ORNL), R. Pillai (ORNL), W. Reed (U.S. Nuclear Regulatory Commission)

Paper

Molecular Dynamics Simulation on Corrosion Interface of α-Iron and Liquid Lead Using Machine Learning Potential

2:20–2:40PM CST

Seoyeon Bak (Seoul Nat'l Univ.), Takuji Oda (Seoul Nat'l Univ.)

Paper

Discussion

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