AI-driven ionic liquid discovery with unified chemical intelligence
This work establishes an end-to-end AI-driven paradigm for understanding and exploring complex ionic systems, demonstrating the promise of chemically specialized foundation models as a generalizable strategy for scientific discovery.
Yu-Qi Yin, Yi-Bo Fu, Si-Yuan Wang et al.
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