{"id":"doi:10.15302/frontphys.2026.071401","kind":"article","title":"Artificial Intelligence for Science: A critical survey and outlook","authors":["Guangcun Shan"],"author_count":1,"year":2026,"published":"2026-01-01","venue":"Frontiers of Physics","cited_by":1,"doi":"10.15302/frontphys.2026.071401","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.15302/frontphys.2026.071401","archive_url":"https://space-kitty.com/papers/doi:10.15302/frontphys.2026.071401","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W7168406503","pdf_url":"https://journal.hep.com.cn/fop/EN/PDF/10.15302/frontphys.2026.071401","abstract":null,"abstract_license":null,"license":null,"is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Machine Learning in Materials Science"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"superconductor-discovery","name":"Computational & AI-Driven Superconductor Discovery","domain_slug":"superconductivity"}],"cited_in_dossiers":[]}