{"id":"doi:10.1126/science.aat2663","kind":"review","title":"Inverse molecular design using machine learning: Generative models for matter engineering","authors":["Benjamín Sánchez-Lengeling","Alán Aspuru‐Guzik"],"author_count":2,"year":2018,"published":"2018-07-26","venue":"Science","cited_by":2071,"doi":"10.1126/science.aat2663","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1126/science.aat2663","archive_url":"https://space-kitty.com/papers/doi:10.1126/science.aat2663","updated":null,"pmid":"30049875","pmcid":null,"openalex_id":"W2883583109","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":[]}