{"id":"doi:10.1016/j.matdes.2023.111697","kind":"article","title":"Mechanistically informed artificial neural network model for discovering anisotropic path-dependent plasticity of metals","authors":["Xiao Liu","Ji Lin He","Shiyao Huang"],"author_count":3,"year":2023,"published":"2023-02-01","venue":"Materials & Design","cited_by":41,"doi":"10.1016/j.matdes.2023.111697","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.matdes.2023.111697","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.matdes.2023.111697","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4319442902","pdf_url":null,"abstract":null,"abstract_license":null,"license":"cc-by-nc-nd","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":"interpretability","name":"Mechanistic Interpretability","domain_slug":"ai"}],"cited_in_dossiers":[]}