LiFSI

Professor Cheng Jun’s Team Achieves Significant Breakthrough in Computational NMR Spectroscopy of Electrolytes

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Professor Cheng Jun's Team Achieves Significant Breakthrough in Computational NMR Spectroscopy of Electrolytes

Research Updates Recently, Professor Cheng Jun and the AI4EC Lab team at Jiajing Innovation Laboratory achieved a significant breakthrough in the field of computational dynamic nuclear magnetic resonance (NMR) spectroscopy of electrolytes using a machine learning combined approach. They successfully predicted the dynamic 7Li NMR chemical shifts in lithium bis(fluorosulfonyl)imide (LiFSI)/dimethyl ether (DME) electrolytes with … Read more

J. Am. Chem. Soc. | The Team of Tang Fujie and Cheng Jun Reveals the Competitive Effects of Dynamic Solvation Structures in Electrolytes through Machine Learning NMR Spectroscopy

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J. Am. Chem. Soc. | The Team of Tang Fujie and Cheng Jun Reveals the Competitive Effects of Dynamic Solvation Structures in Electrolytes through Machine Learning NMR Spectroscopy

01 【Article Summary】 Recently, Xiamen University and the Jiageng Innovation Laboratory achieved significant breakthroughs in the field of dynamic nuclear magnetic resonance (NMR) spectroscopy of electrolytes using a machine learning combined approach. They successfully predicted the dynamic ⁷Li NMR chemical shifts in the lithium bis(fluorosulfonyl)imide (LiFSI)/dimethyl ether (DME) electrolyte. The prediction accurately revealed the inversion … Read more