Kim, Young-Hoon Sim, Son -Jae Yoon, Yeong-In Choi, Yong-Seok Kim, Hong-Kyu Lee, Jae- Chul 2024-06-13T01:30:10Z 2024-06-13T01:30:10Z 2024-06-13 2024-07 1385-8947 https://pubs.kist.re.kr/handle/201004/150049 Traditionally, electrolyte solvents in batteries have been regarded primarily as carrier for ion transporters. Here, we reveal the critical roles of solvents in transforming microscale anode materials into porous nanostructures and in facilitating the formation of thinner, more efficient solid -electrolyte interphase (SEI) layers. Using machinelearning -assisted molecular dynamics simulations combined with density functional theory calculations on Na-CuS batteries, we unveil the significant yet previously unclear impact of solvent choice on solvation/desolvation dynamics, a complex area that has been difficult to resolve with traditional methods. We demonstrate that solvent choice significantly impacts the capacity, particularly the rate performance, primarily due to the desolvation dynamics, thus establishing a direct correlation between solvent selection and battery performance. Our findings highlight DEGDME as the optimal solvent for Na-CuS half -cells, due to its low Na desolvation energy and favorable Na-O bond energy. This leads to exceptional energy capacity (610 mAh/g at 2C) and ultrafast charging capability (520 mAh/g at 30C). This research marks a significant advancement in energy storage technology by demonstrating the crucial role of solvent selection in anode morphology, SEI formation, and desolvation energy optimization. English Elsevier BV Ether vs. Carbonate solvents in Na-CuS Batteries: Impact on anode Morphology, SEI Formation, and desolvation dynamics Article 10.1016/j.cej.2024.151970 1 Chemical Engineering Journal, v.491 Chemical Engineering Journal 491 N scie scopus 001239978800001 2-s2.0-85192254090 Engineering, Environmental Engineering, Chemical Engineering Article MICROSIZED SN ION ELECTROLYTE Na-ion battery Solvent Machine -learning -assisted molecular dynamics DFT calculations Porous nanostructures Desolvation dynamics