3 papers
cond-mat.mtrl-sci2026
Stable Machine Learning Potentials for Liquid Metals via Dataset Engineering
Alex Tai, Jason Ogbebor, Rodrigo Freitas
Liquid metals are central to energy-storage and nuclear technologies, yet quantitative knowledge of their thermophysical properties remains limited. While atomistic simulations off…
cond-mat.soft2025
Compressibility of Confined Fluids from Volume Fluctuations
Jason Ogbebor, Santiago A. Flores Roman, Geordy Jomon +1
When fluids are confined in nanopores, many of their properties deviate from bulk. These include bulk modulus, or compressibility, which determines the mechanical properties of flu…
cond-mat.soft2023
Ultrasonic Study of Water Adsorbed in Nanoporous Glasses
Jason Ogbebor, John J. Valenza, Peter I. Ravikovitch +6
Thermodynamic properties of fluids confined in nanopores differ from those observed in the bulk. To investigate the effect of nanoconfinement on water compressibility, we performed…