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Shiyang Wang

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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.

Peng-Hui Li, Ben Gao, Shi-Yang Wang et al. · 0 citations

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