17 citations · 17 across the 3 of their papers we have counts for
3 papers
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…
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…
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…