{"id":"doi:10.1021/acscombsci.7b00056","kind":"article","title":"Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs)","authors":["Maryam Pardakhti","Ehsan Moharreri","David W. Wanik","Steven L. Suib","Ranjan Srivastava"],"author_count":5,"year":2017,"published":"2017-08-11","venue":"ACS Combinatorial Science","cited_by":254,"doi":"10.1021/acscombsci.7b00056","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1021/acscombsci.7b00056","archive_url":"https://space-kitty.com/papers/doi:10.1021/acscombsci.7b00056","updated":null,"pmid":"28800219","pmcid":null,"openalex_id":"W2742477205","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":[]}