孙世刚院士领衔！厦门大学乔羽/程俊/邹业国最新JACS丨机器学习筛选外壳层共溶剂稳定锌负极SEI！
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TL;DR - A JACS study used machine-learning molecular dynamics to screen co-solvents for aqueous zinc batteries, identifying DMAC as an additive that stabilizes the zinc anode interface. The resulting electrolyte improved zinc reversibility and enabled long-lived full cells.
- MLMD screened 28 co-solvents roughly 10,000× faster than AIMD and selected DMAC.
- DMAC restructures hydrogen bonding without strongly coordinating Zn²⁺, weakening Zn²⁺–H₂O interactions and promoting desolvation.
- Enhanced Zn²⁺–anion interactions produce a uniform ZnO/ZnF₂-rich SEI while suppressing hydrogen evolution and dendritic deposition.
- Zn∥Cu cells maintained 99.3% Coulombic efficiency for 950 cycles, while Zn∥I₂ cells cycled stably for 12,000 cycles.
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孙世刚院士领衔！厦门大学乔羽/程俊/邹业国最新JACS丨机器学习筛选外壳层共溶剂稳定锌负极SEI！
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TL;DR - A JACS study used machine-learning molecular dynamics to screen co-solvents for aqueous zinc batteries, identifying DMAC as an additive that stabilizes the zinc anode interface. The resulting electrolyte improved zinc reversibility and enabled long-lived full cells.
- MLMD screened 28 co-solvents roughly 10,000× faster than AIMD and selected DMAC.
- DMAC restructures hydrogen bonding without strongly coordinating Zn²⁺, weakening Zn²⁺–H₂O interactions and promoting desolvation.
- Enhanced Zn²⁺–anion interactions produce a uniform ZnO/ZnF₂-rich SEI while suppressing hydrogen evolution and dendritic deposition.
- Zn∥Cu cells maintained 99.3% Coulombic efficiency for 950 cycles, while Zn∥I₂ cells cycled stably for 12,000 cycles.