Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode

12 April 2018

Papers citing "Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode"

6 / 6 papers shown

Title
AI-Driven Discovery of High Performance Polymer Electrodes for Next-Generation Batteries Subhash V.S. Ganti Lukas Woelfel Christopher Kuenneth 220 0 0 20 Feb 2025
Predicting ionic conductivity in solids from the machine-learned potential energy landscape Artem Maevskiy Alexandra Carvalho Emil Sataev Volha Turchyna Keian Noori Aleksandr Rodin A. H. Castro Neto Andrey E. Ustyuzhanin 141 0 0 11 Nov 2024
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 94 237 0 19 Oct 2022
Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties T. Xie A. France-Lanord Yanming Wang Jeffrey Lopez M. Stolberg ... Graham M. Leverick Rafael Gómez-Bombarelli Jeremiah A. Johnson Y. Shao-horn Jeffrey C. Grossman 54 44 0 13 Jan 2021
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties Zekun Ren S. Tian Juhwan Noh Felipe Oviedo G. Xing ... Qianxiao Li Senthilnath Jayavelu K. Hippalgaonkar Yousung Jung Tonio Buonassisi AI4CE 98 143 0 15 May 2020
Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional Materials Victor Venturi Holden L Parks Zeeshan Ahmad V. Viswanathan PINN 24 14 0 19 Mar 2020