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Machine Learning Interatomic Potential to Investigate Fundamentals of Electrolytes for Li-ion Solid-State Batteries |
Kyoungmin Min |
Int. J. Precis. Eng. Manuf.-Smart Tech.. 2023;1(1):83-91. Published online 2023 January 1 DOI: https://doi.org/10.57062/ijpem-st.2022.0066 |
Machine Learning Interatomic Potential to Investigate Fundamentals of Electrolytes for Li-ion Solid-State Batteries Solid electrolytes for Li-ion batteries via machine learning Interatomic potentials Polycarbonate-based solid polymer electrolytes for Li-ion batteries Advanced Ceramic Li Ion Electrolytes for All-Solid-State Li Ion Batteries Ceramic Li Ion Electrolytes for Next Generation Solid-State Li Ion Batteries Zero-Strain Insertion Materials for All-Solid-State Li-Ion Batteries Polymer electrolytes based on the doped comb-branched copolymers for Li-ion batteries Molecular Dynamics Study of Ion Transport in Polymer Electrolytes of All-Solid-State Li-Ion Batteries Improved Ga-doped Li7La3Zr2O12 garnet-type solid electrolytes for solid-state Li-ion batteries |
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