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Cited by in F6Publishing
For: Tao L, Byrnes J, Varshney V, Li Y. Machine learning strategies for the structure-property relationship of copolymers. iScience 2022;25:104585. [DOI: 10.1016/j.isci.2022.104585] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
Number Citing Articles
1 Patel RA, Webb MA. Data-Driven Design of Polymer-Based Biomaterials: High-throughput Simulation, Experimentation, and Machine Learning. ACS Appl Bio Mater 2023. [PMID: 36701125 DOI: 10.1021/acsabm.2c00962] [Reference Citation Analysis]
2 Tao L, He J, Arbaugh T, Mccutcheon JR, Li Y. Machine learning prediction on the fractional free volume of polymer membranes. Journal of Membrane Science 2023;665:121131. [DOI: 10.1016/j.memsci.2022.121131] [Reference Citation Analysis]
3 Kuenneth C, Lalonde J, Marrone BL, Iverson CN, Ramprasad R, Pilania G. Bioplastic design using multitask deep neural networks. Commun Mater 2022;3:96. [DOI: 10.1038/s43246-022-00319-2] [Reference Citation Analysis]
4 Tao L, Arbaugh T, Byrnes J, Varshney V, Li Y. Unified machine learning protocol for copolymer structure-property predictions. STAR Protoc 2022;3:101875. [PMID: 36595914 DOI: 10.1016/j.xpro.2022.101875] [Reference Citation Analysis]
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