🔋 Accelerated Electrolyte Engineering by Deep Learning: A Quaternary Ammonium Additive Enables Ultra-Stable Zinc Anodes
📝 چارچوب یادگیری عمیق برای غربالگری افزودنیهای کواترنری آمونیوم، الکترولیت آبی روی با آند فوقپایدار و چرخهپذیری بیش از 1800 ساعت را معرفی میکند.
📚 Journal: ACS Nano #ACSNano
📅 Date: 2026-10-02
🔬 Research Article
💡 Novelty & Significance:
This work introduces GATGLP, a graph attention network predicting HOMO–LUMO gaps for scarce ionic molecules via transfer learning, enabling dual-descriptor screening of 378 quaternary ammonium additives. Validated [N8111]Br delivers ultra-stable zinc anodes (>1800 h), linking interfacial cation accumulation to uniform deposition. It pioneers deep-learning-guided electrolyte engineering, accelerating discovery beyond inefficient trial-and-error screening.
🔗 10.1021/acsnano.6c10344
🏷 zinc anode · deep learning · electrolyte additive · quaternary ammonium · dendrite suppression
Post #14785
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