How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics-Reference-Cited by-同舟云学术

How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics

Published:2018-07-20 Issue:8 Volume:12 Page:7434-7444
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Cao Bing¹²^ORCID,Adutwum Lawrence A.¹²³^ORCID,Oliynyk Anton O.¹²^ORCID,Luber Erik J.¹²^ORCID,Olsen Brian C.¹²^ORCID,Mar Arthur¹²^ORCID,Buriak Jillian M.¹²^ORCID

Affiliation:

1. Department of Chemistry, University of Alberta, 11227 Saskatchewan Drive, Edmonton, AB T6G 2G2, Canada

2. National Institute for Nanotechnology, National Research Council Canada, 11421 Saskatchewan Drive, Edmonton, AB T6G 2M9, Canada

3. Department of Pharmaceutical Chemistry, College of Health Sciences, University of Ghana School of Pharmacy, P.O. Box LG 43, Legon, Ghana

Funder

Canada Research Chairs

Natural Sciences and Engineering Research Council of Canada

Future Energy Systems of the University of Alberta

Alberta Innovates Technology Futures

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

http://pubs.acs.org/doi/pdf/10.1021/acsnano.8b04726

Reference67 articles.

1. Discovery and Optimization of Materials Using Evolutionary Approaches

2. Accelerating the discovery of materials for clean energy in the era of smart automation

3. Use machine learning to find energy materials

4. Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning

5. Machine-learning-assisted materials discovery using failed experiments

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