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For: Yuan Q, Longo M, Thornton AW, McKeown NB, Comesaña-Gándara B, Jansen JC, Jelfs KE. Imputation of missing gas permeability data for polymer membranes using machine learning. J Memb Sci 2021. [DOI: 10.1016/j.memsci.2021.119207] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Number Cited by Other Article(s)
1
Vishnyakov A. Machine Learning in Computational Design and Optimization of Disordered Nanoporous Materials. MATERIALS (BASEL, SWITZERLAND) 2025;18:534. [PMID: 39942200 PMCID: PMC11818078 DOI: 10.3390/ma18030534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 12/30/2024] [Accepted: 12/31/2024] [Indexed: 02/16/2025]
2
Dangayach R, Jeong N, Demirel E, Uzal N, Fung V, Chen Y. Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025;59:993-1012. [PMID: 39680111 PMCID: PMC11755723 DOI: 10.1021/acs.est.4c08298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2024] [Revised: 12/03/2024] [Accepted: 12/04/2024] [Indexed: 12/17/2024]
3
Xie C, Li R, Li Y, Xie H, Liu Q. Imputation of Missing Data in Materials Science through Nearest Neighbors and Iterative Predictions. J Chem Theory Comput 2025;21:70-78. [PMID: 39723676 DOI: 10.1021/acs.jctc.4c01237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2024]
4
Olayiwola T, Kumar R, Romagnoli JA. Empowering Capacitive Devices: Harnessing Transfer Learning for Enhanced Data-Driven Optimization. Ind Eng Chem Res 2024;63:11971-11981. [PMID: 39015815 PMCID: PMC11247430 DOI: 10.1021/acs.iecr.4c01171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
5
Al-Sakkari EG, Ragab A, Dagdougui H, Boffito DC, Amazouz M. Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024;917:170085. [PMID: 38224888 DOI: 10.1016/j.scitotenv.2024.170085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 12/10/2023] [Accepted: 01/09/2024] [Indexed: 01/17/2024]
6
Mobili R, La Cognata S, Monteleone M, Longo M, Fuoco A, Serapian SA, Vigani B, Milanese C, Armentano D, Jansen JC, Amendola V. Gas Permeation through Mechanically Resistant Self-Standing Membranes of a Neat Amorphous Organic Cage. Chemistry 2023;29:e202301437. [PMID: 37433050 DOI: 10.1002/chem.202301437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/27/2023] [Accepted: 07/11/2023] [Indexed: 07/13/2023]
7
Behnoudfar D, Simon CM, Schrier J. Data-Driven Imputation of Miscibility of Aqueous Solutions via Graph-Regularized Logistic Matrix Factorization. J Phys Chem B 2023;127:7964-7973. [PMID: 37682958 DOI: 10.1021/acs.jpcb.3c03789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2023]
8
Chen H, Zheng Y, Li J, Li L, Wang X. AI for Nanomaterials Development in Clean Energy and Carbon Capture, Utilization and Storage (CCUS). ACS NANO 2023. [PMID: 37267448 DOI: 10.1021/acsnano.3c01062] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
9
Wang J, Tian K, Li D, Chen M, Feng X, Zhang Y, Wang Y, Van der Bruggen B. Machine learning in gas separation membrane developing: ready for prime time. Sep Purif Technol 2023. [DOI: 10.1016/j.seppur.2023.123493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
10
Wang C, Wang L, Soo A, Bansidhar Pathak N, Kyong Shon H. Machine learning based prediction and optimization of thin film nanocomposite membranes for organic solvent nanofiltration. Sep Purif Technol 2023. [DOI: 10.1016/j.seppur.2022.122328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
11
Cheng X, Liao Y, Lei Z, Li J, Fan X, Xiao X. Multi-scale design of MOF-based membrane separation for CO2/CH4 mixture via integration of molecular simulation, machine learning and process modeling and simulation. J Memb Sci 2023. [DOI: 10.1016/j.memsci.2023.121430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
12
Jelfs KE. Computational modeling to assist in the discovery of supramolecular materials. Ann N Y Acad Sci 2022;1518:106-119. [PMID: 36251351 PMCID: PMC10091946 DOI: 10.1111/nyas.14913] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
13
Yang J, Tao L, He J, McCutcheon JR, Li Y. Machine learning enables interpretable discovery of innovative polymers for gas separation membranes. SCIENCE ADVANCES 2022;8:eabn9545. [PMID: 35857839 PMCID: PMC9299556 DOI: 10.1126/sciadv.abn9545] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 06/07/2022] [Indexed: 05/21/2023]
14
Tao L, Byrnes J, Varshney V, Li Y. Machine learning strategies for the structure-property relationship of copolymers. iScience 2022;25:104585. [PMID: 35789847 PMCID: PMC9249671 DOI: 10.1016/j.isci.2022.104585] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/26/2022] [Accepted: 06/07/2022] [Indexed: 11/15/2022]  Open
15
Anstine DM, Sholl DS, Siepmann JI, Snurr RQ, Aspuru-Guzik A, Colina CM. In silico design of microporous polymers for chemical separations and storage. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2022.100795] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
16
Yokoyama D, Suzuki S, Asakura T, Kikuchi J. Chemometric Analysis of NMR Spectra and Machine Learning to Investigate Membrane Fouling. ACS OMEGA 2022;7:12654-12660. [PMID: 35474825 PMCID: PMC9025983 DOI: 10.1021/acsomega.1c06891] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 03/02/2022] [Indexed: 05/26/2023]
17
Missing Data Imputation – A Survey. INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY 2022. [DOI: 10.4018/ijdsst.292446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
18
Alamoodi A, Zaidan B, Zaidan A, Albahri O, Chen J, Chyad M, Garfan S, Aleesa A. Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation. CHAOS, SOLITONS & FRACTALS 2021;151:111236. [DOI: 10.1016/j.chaos.2021.111236] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
19
Comparative Study of Machine Learning Approaches for Predicting Creep Behavior of Polyurethane Elastomer. Polymers (Basel) 2021;13:polym13111768. [PMID: 34071349 PMCID: PMC8198355 DOI: 10.3390/polym13111768] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 05/25/2021] [Accepted: 05/25/2021] [Indexed: 11/28/2022]  Open
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