Search Results for author: Peiyuan Gao

Found 2 papers, 0 papers with code

Physics-informed machine learning of the correlation functions in bulk fluids

no code implementations2 Sep 2023 Wenqian Chen, Peiyuan Gao, Panos Stinis

The Ornstein-Zernike (OZ) equation is the fundamental equation for pair correlation function computations in the modern integral equation theory for liquids.

Physics-informed machine learning

Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery

no code implementations15 Jun 2021 Peiyuan Gao, Xiu Yang, Yu-Hang Tang, Muqing Zheng, Amity Anderson, Vijayakumar Murugesan, Aaron Hollas, Wei Wang

The solvation free energy of organic molecules is a critical parameter in determining emergent properties such as solubility, liquid-phase equilibrium constants, and pKa and redox potentials in an organic redox flow battery.

Dimensionality Reduction

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