High-Throughput Computation and Machine Learning Prediction Accelerating the Design of Cathode Catalysts for Li–CO2 Batteries
Developing new cathode catalysts to facilitate the electrochemical reaction toward the product of lithium oxalate would enhance the performance of Li–CO2 batteries. Herein, high-throughput calculations and machine learning technology were synergistically utilized to effectively screen new transition...
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Veröffentlicht in: | Journal of physical chemistry. C 2024-07, Vol.128 (28), p.11534-11542 |
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Format: | Artikel |
Sprache: | eng |
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