Machine learning assembly landscapes from particle tracking data-Reference-Cited by-同舟云学术

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Machine learning assembly landscapes from particle tracking data

Published:2015 Issue:41 Volume:11 Page:8141-8153
ISSN:1744-683X
Container-title:Soft Matter
language:en
Short-container-title:Soft Matter

Author:

Long Andrew W.,Zhang Jie,Granick Steve,Ferguson Andrew L.

Funder

Ulsan National Institute of Science and Technology

Division of Materials Research

Basic Energy Sciences

Publisher

Royal Society of Chemistry (RSC)

Subject

Condensed Matter Physics,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2015/SM/C5SM01981H

Reference71 articles.

1. Self-Assembly at All Scales

2. A peptide inhibitor of HIV-1 assembly in vitro

3. Anisotropy of building blocks and their assembly into complex structures

4. Tunable Self-Assembled Peptide Amphiphile Nanostructures

5. Dynamic Pathways for Viral Capsid Assembly

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