4 citations · 8 across the 6 of their papers we have counts for
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Deep Learning Assisted Prediction of Electrochemical Lithiation State in Spinel Lithium Titanium Oxide Thin Films
Devin Chugh, Bhagath Sreenarayanan, Steven Suwito +4
Machine Learning (ML) and Deep Learning (DL) based framework have evolved rapidly and generated considerable interests for predicting the properties of materials. In this work, we…
Spectroscopic Determination of Site-Selective Ligand Binding on Single Anisotropic Nanocrystals
Dong Le, Wade Shipley, Alexandria Do +17
Organic surface ligands are integral components of nanocrystals and nanoparticles that have a strong influence on their physicochemical properties, their interaction with the envir…
Guidelines for Correlative Imaging and Analysis of Reactive Lithium Metal Battery Materials
Shuang Bai, Zhao Liu, Diyi Cheng +15
To unlock the full potential of lithium metal batteries, a deep understanding of lithium metal reactivity and its solid electrolyte interphase is essential. Correlative imaging, co…
Ultra-Low Temperature Li/CFx Batteries Enabled by Fast-transport and Anion-pairing Liquefied Gas Electrolytes
Yijie Yin, John Holoubek, Alex Liu +11
Lithium fluorinated carbon is one of the most promising chemistries for high-energy-density primary energy storage systems in applications where rechargeability is not required. Th…