Open access
Aug 2026
Resolving Chemically Inequivalent 11B NMR Sites via Interpretable Hybrid Machine Learning
A manually verified, solvent-annotated 11B NMR data set constructed via a large language model (LLM)-assisted workflow provides a form of virtual spectral resolution, enabling the discrimination of chemically inequivalent boron sites that are difficult to resolve experimentally.
Penghui Li, Ben Gao, Shiyang Wang et al.
· JACS Au · 0 citations