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Synthetic Applicability Domain (SynAD): Navigating Chemical Space for Reliable AI‐Driven Reaction Prediction

Year: 2026

Type: article

Source: Angewandte Chemie

DOI: 10.1002/ange.202523874

Authors: Zhenzhi Tan, Qi Yang, Long Zhang, Sanzhong Luo

Institutions: Tsinghua University, Hangzhou Normal University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1166721245, G2167409271, G2514591518, G5352221285, G7025558710, G7736194190, G8176850936

OpenAlex ID: W7125435638

FWCI:

Cites: 38

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