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Cited by in F6Publishing

For:	Zhou T, Wu Z, Chilukoti HK, Müller-Plathe F. Sequence-Engineering Polyethylene-Polypropylene Copolymers with High Thermal Conductivity Using a Molecular-Dynamics-Based Genetic Algorithm. J Chem Theory Comput 2021;17:3772-82. [PMID: 33949863 DOI: 10.1021/acs.jctc.1c00134] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]

For:

Zhou T, Wu Z, Chilukoti HK, Müller-Plathe F. Sequence-Engineering Polyethylene-Polypropylene Copolymers with High Thermal Conductivity Using a Molecular-Dynamics-Based Genetic Algorithm. J Chem Theory Comput 2021;17:3772-82. [PMID: 33949863 DOI: 10.1021/acs.jctc.1c00134] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]

Number	Citing Articles
1	Ramesh PS, Patra TK. Polymer sequence design via molecular simulation-based active learning. Soft Matter 2023;19:282-94. [PMID: 36519427 DOI: 10.1039/d2sm01193j] [Reference Citation Analysis]
2	Zhou T, Qiu D, Wu Z, Alberti SAN, Bag S, Schneider J, Meyer J, Gámez JA, Gieler M, Reithmeier M, Seidel A, Müller-plathe F. Compatibilization Efficiency of Graft Copolymers in Incompatible Polymer Blends: Dissipative Particle Dynamics Simulations Combined with Machine Learning. Macromolecules. [DOI: 10.1021/acs.macromol.2c00821] [Reference Citation Analysis]
3	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]
4	Kumar R. Materiomically Designed Polymeric Vehicles for Nucleic Acids: Quo Vadis? ACS Appl Bio Mater 2022. [PMID: 35642794 DOI: 10.1021/acsabm.2c00346] [Reference Citation Analysis]
5	Bale AA, Gautham SMB, Patra TK. Sequence‐defined Pareto frontier of a copolymer structure. Journal of Polymer Science. [DOI: 10.1002/pol.20220088] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6	Patra TK. Data-Driven Methods for Accelerating Polymer Design. ACS Polym Au 2022;2:8-26. [DOI: 10.1021/acspolymersau.1c00035] [Cited by in Crossref: 9] [Cited by in F6Publishing: 12] [Article Influence: 4.5] [Reference Citation Analysis]