Accelerated Design of Catalytic Water-Cleaning Nanomotors via Machine Learning-Reference-Cited by-同舟云学术

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Accelerated Design of Catalytic Water-Cleaning Nanomotors via Machine Learning

Published:2019-10-07 Issue:43 Volume:11 Page:40099-40106
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Zeng Minxiang¹^ORCID,Yuan Shuai¹²^ORCID,Huang Dali²³,Cheng Zhengdong¹²³^ORCID

Affiliation:

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

2. Mary Kay O’Connor Process Safety Center, Texas A&M University, College Station, Texas 77843, United States

3. Department of Materials Science & Engineering, Texas A&M University, College Station, Texas 77843, United States

Funder

National Aeronautics and Space Administration

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.9b14792

Reference33 articles.

1. Making waves in a photoactive polymer film

2. Biodegradable Protein-Based Rockets for Drug Transportation and Light-Triggered Release

3. Self-Propelled Micromotors for Cleaning Polluted Water

4. Progress toward Catalytic Micro‐ and Nanomotors for Biomedical and Environmental Applications

5. Active colloids: Progress and challenges towards realising autonomous applications

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