A neural recommender system for efficient adsorbent screening

Chemical Engineering Science(2022)

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摘要
•Sparse adsorption loading data matrix is generated from NIST isotherm database.•A neural recommender system is developed to complete the matrix for adsorbent screening.•Good neural recommender model training, validation, and test performance are achieved.•Promising adsorbents are screened for methane storage and ethene/ethane separation.
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关键词
Adsorbent screening,Matrix completion,Neural recommender system,Methane storage,Ethene/ethane separation
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