4.8 Article

Quantum Physics and Deep Learning to Reveal Multiple Dimensional Modified Regulation by Ternary Substitution of Iron, Manganese, and Cobalt on Na3V2(PO4)3 for Superior Sodium Storage

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 33, Issue 21, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202213711

Keywords

coordination environments; deep learning; Na3V2(PO4)(3); quantum physics calculations; ternary-substitutions

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A new type of Fe/Mn/Co co-substituted Na3V2(PO4)(3) with nitrogen-doped carbon coating (NFMC) is synthesized via a facile sol-gel route. This material exhibits improved electronic conductivity, higher capacity, and enhanced structural stability, making it a promising candidate for sodium ion batteries.
Na3V2(PO4)(3) is regarded as a promising candidate for sodium ion batteries. Nevertheless, the poor electronic conductivity, low capacities, and unstable structure limit its further investigations. Herein, a new type of Fe/Mn/Co co-substituted Na3V2(PO4)(3) with nitrogen-doped carbon coating (NFMC) by a facile sol-gel route is synthesized. The introduced elements feature in both crystal bulk and carbon coating layer. Suitable heteroatom substitution activates more effective Na+ to participate in electrochemical process and reinforce the structure. An extra high voltage platform at 3.8 V resulting from the multi-element synergy (Mn2+/Mn3+/Mn4+; Co2+/Co3+; V4+/V5+) is stably and reversibly existed in NFMC to supply added capacities, which is investigated by quantum physics calculations. The high flux paths for Na+ migration and spin quantum state distribution in NFMC are demonstrated by molar magneton calculation. Significantly, the generated polyatomic coordination environment of M-N-C (M = Fe/Co/Mn) in carbon layer is first proposed. The most optimized combination structures are obtained from 69 possible structures and demonstrated by X-ray absorption spectroscopy. The superior electrochemical performance is precisely forecasted by innovative deep learning. Predicted values with high precision are obtained based on a small number of operating data, extremely short development period, and provide real-time status references for safer use.

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