A Deep Learning Framework Discovers Compositional Order and Self-Assembly Pathways in Binary Colloidal Mixtures-Reference-Cited by-同舟云学术

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A Deep Learning Framework Discovers Compositional Order and Self-Assembly Pathways in Binary Colloidal Mixtures

Published:2022-07-19 Issue:8 Volume:2 Page:1818-1828
ISSN:2691-3704
Container-title:JACS Au
language:en
Short-container-title:JACS Au

Author:

Mao Runfang¹,O’Leary Jared²,Mesbah Ali²^ORCID,Mittal Jeetain³^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States

2. Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, United States

3. Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States

Funder

Division of Civil, Mechanical and Manufacturing Innovation

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/jacsau.2c00111

Reference72 articles.

1. Polarization-Dependent Optical Response in Anisotropic Nanoparticle–DNA Superlattices

2. Three-dimensional binary superlattices of magnetic nanocrystals and semiconductor quantum dots

3. Modular and Chemically Responsive Oligonucleotide “Bonds” in Nanoparticle Superlattices

4. Colorimetric Detection of Mercuric Ion (Hg2+) in Aqueous Media using DNA-Functionalized Gold Nanoparticles

5. Design of Pt–Pd Binary Superlattices Exploiting Shape Effects and Synergistic Effects for Oxygen Reduction Reactions

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2. Predicting micro/nanoscale colloidal interactions through local neighborhood graph neural networks;Journal of Applied Physics;2023-12-15

3. Multistate Dynamic Pathways for Anisotropic Colloidal Assembly and Reconfiguration;ACS Nano;2023-10-03

4. Pair-Variational Autoencoders for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques;JACS Au;2023-07-21

5. Shape-induced crystallization of binary DNA-functionalized nanocubes;The Journal of Chemical Physics;2023-05-12

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