Predictive Theoretical Framework for Dynamic Control of Bioinspired Hybrid Nanoparticle Self-Assembly

Qi, Xin; Zhao, Yundi; Lachowski, Kacper; Boese, Julia; Cai, Yifeng; Dollar, Orion; Hellner, Brittney; Pozzo, Lilo; Pfaendtner, Jim; Chun, Jaehun; Baneyx, François; Mundy, Christopher J.

doi:10.1021/acsnano.1c04923

Title: Predictive Theoretical Framework for Dynamic Control of Bioinspired Hybrid Nanoparticle Self-Assembly

Journal Article · 24 January 2022 · ACS Nano

DOI: https://doi.org/10.1021/acsnano.1c04923 · OSTI ID:1857721

^[1]; Zhao, Yundi ^[1];

^[2]; Boese, Julia ^[1]; Cai, Yifeng ^[1]; Dollar, Orion ^[1]; Hellner, Brittney ^[1];

^[1];

^[3];

^[4];

^[1];

^[3]

Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States, Molecular Engineering and Sciences Institute, University of Washington, Seattle, Washington 98195, United States
Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States, Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States, Levich Institute and Department of Chemical Engineering, CUNY City College of New York, New York, New York 10031, United States

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Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC02-06CH11357; SC0019288

OSTI ID:: 1857721

Journal Information:: ACS Nano, Journal Name: ACS Nano Journal Issue: 2 Vol. 16; ISSN 1936-0851

Publisher:: American Chemical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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