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For: Pial TH, Das S. Machine learning enabled quantification of the hydrogen bonds inside the polyelectrolyte brush layer probed using all-atom molecular dynamics simulations. Soft Matter 2022;18:8945-8951. [PMID: 36421980 DOI: 10.1039/d2sm00997h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Number Cited by Other Article(s)
1
Ishraaq R, Das S. All-atom molecular dynamics simulations of polymer and polyelectrolyte brushes. Chem Commun (Camb) 2024;60:6093-6129. [PMID: 38819435 DOI: 10.1039/d4cc01557f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
2
Ishraaq R, Akash TS, Bera A, Das S. Hydrophilic and Apolar Hydration in Densely Grafted Cationic Brushes and Counterions with Large Mobilities. J Phys Chem B 2024;128:381-392. [PMID: 38148252 DOI: 10.1021/acs.jpcb.3c07520] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
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