1 citations · 3 across the 4 of their papers we have counts for
4 papers
Multiscale modeling framework of a constrained fluid with complex boundaries using twin neural networks
Peiyuan Gao, George Em Karniadakis, Panos Stinis
The properties of constrained fluids have increasingly gained relevance for applications ranging from materials to biology. In this work, we propose a multiscale model using twin n…
Physics-informed machine learning of the correlation functions in bulk fluids
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. In this work, machine…
Direct and in situ examination of Li+ transport kinetics in isotope labelled solid electrolyte interphase
Xiaofei Yu, Stefany Angarita-Gomez, Yaobin Xu +13
Here, using unique in-situ liquid secondary ion mass spectroscopy on isotope-labelled solid-electrolyte-interphase (SEI), assisted by cryogenic transmission electron microscopy and…
Direct in-situ measurement of electrical properties of solid electrolyte interphase on lithium metal anode
Yaobin Xu, Hao Jia, Peiyuan Gao +13
Solid electrolyte interphase (SEI), a thin layer that dynamically forms between active electrode and electrolyte during battery operation, critically governs the performance of rec…