{"id":"doi:10.1103/physrevb.96.024104","kind":"article","title":"Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations","authors":["Logan T. Ward","Ruoqian Liu","Amar Krishna","Vinay I. Hegde","Ankit Agrawal","Alok Choudhary","Chris M. Wolverton"],"author_count":7,"year":2017,"published":"2017-07-14","venue":"Physical review. B./Physical review. B","cited_by":412,"doi":"10.1103/physrevb.96.024104","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1103/physrevb.96.024104","archive_url":"https://space-kitty.com/papers/doi:10.1103/physrevb.96.024104","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2734520197","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Machine Learning in Materials Science"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-for-science","name":"AI for Science","domain_slug":"ai"}],"cited_in_dossiers":[]}