Prediction of O2/N2 Selectivity in Metal–Organic Frameworks via High-Throughput Computational Screening and Machine Learning-Reference-Cited by-同舟云学术

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

Author:

Orhan Ibrahim B.¹²,Daglar Hilal³,Keskin Seda³^ORCID,Le Tu C.⁴^ORCID,Babarao Ravichandar¹²^ORCID

Affiliation:

1. Department of Applied Chemistry and Environmental Science, School of Science, RMIT University, Melbourne Victoria 3001, Australia

2. CSIRO Manufacturing Flagship, Clayton, Victoria 3169, Australia

3. Department of Chemical and Biological Engineering, Koç University, Rumelifeneri Yolu, Sarıyer, 34450 Istanbul, Turkey

4. School of Engineering, RMIT University, Melbourne, Victoria 3001, Australia

Funder

Australian Research Council

Commonwealth Scientific and Industrial Research Organisation

RMIT University

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

Reference58 articles.

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