Prediction of O2/N2 Selectivity in Metal–Organic Frameworks via High-Throughput Computational Screening and Machine Learning

Autor:	Ibrahim B. Orhan, Hilal Daglar, Seda Keskin, Tu C. Le, Ravichandar Babarao
Rok vydání:	2021
Předmět:	General Materials Science 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 0210 nano-technology 01 natural sciences 0104 chemical sciences
Zdroj:	ACS Applied Materials & Interfaces. 14:736-749
ISSN:	1944-8252 1944-8244
DOI:	10.1021/acsami.1c18521
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cfcf441bb4360aef562810b1d47836dd https://doi.org/10.1021/acsami.1c18521 Zobrazit plný text záznamu