Transfer Learning Enabled Deep Learning Model for the Prediction of Battery Performance from Electrolyte Formulations

• Published in: Meeting abstracts (Electrochemical Society) Vol. MA2022-02; no. 2; p. 166
• Main Authors: Sharma, Vidushi, Giammona, Maxwell, Zubarev, Dmitry, Erdmann, Tim, Tek, Andy, Nugyuen, Khanh, Na, Young-Hye
• Format: Journal Article
• Language: English
• Published: The Electrochemical Society, Inc 09.10.2022

Next generation batteries utilizing lithium (Li) metal anode could represent a 10x improvement in anode specific capacity compared to currently used graphite anodes however they still face major challenges associated with their evenness of plating and interfacial stability with the electrolyte. The...