7 citations · 8 across the 4 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…
Recycling Silicon Scrap for Spherical Si-C composite as High-Performance Lithium-ion Battery Anodes
Bhagath Sreenarayanan, Marta Vicencio, Shuang Bai +5
The growth of the semiconductor and solar industry has been exponential in the last two decades due to the computing and energy demands of the world. Silicon (Si) is one of the mai…
Carbon Free High Loading Silicon Anodes Enabled by Sulfide Solid Electrolytes for Robust All Solid-State Batteries
Darren H. S. Tan, Yu-Ting Chen, Hedi Yang +15
The development of silicon anodes to replace conventional graphite in efforts to increase energy densities of lithium-ion batteries has been largely impeded by poor interfacial sta…