Self-driving laboratory for accelerated discovery of thin-film materials

Author:

MacLeod B. P.12ORCID,Parlane F. G. L.12ORCID,Morrissey T. D.12ORCID,Häse F.3456ORCID,Roch L. M.3456ORCID,Dettelbach K. E.1ORCID,Moreira R.1ORCID,Yunker L. P. E.1ORCID,Rooney M. B.1ORCID,Deeth J. R.1,Lai V.1ORCID,Ng G. J.1,Situ H.1ORCID,Zhang R. H.1ORCID,Elliott M. S.1ORCID,Haley T. H.1ORCID,Dvorak D. J.2ORCID,Aspuru-Guzik A.34567ORCID,Hein J. E.1ORCID,Berlinguette C. P.1278ORCID

Affiliation:

1. Department of Chemistry, The University of British Columbia, Vancouver, British Columbia, Canada.

2. Stewart Blusson Quantum Matter Institute, The University of British Columbia, Vancouver, British Columbia, Canada.

3. Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.

4. Department of Chemistry, University of Toronto, Toronto, Ontario, Canada.

5. Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.

6. Vector Institute for Artificial Intelligence, MaRS Centre, Toronto, Ontario, Canada.

7. Canadian Institute for Advanced Research (CIFAR), MaRS Centre, Toronto, Ontario, Canada.

8. Department of Chemical and Biological Engineering, The University of British Columbia, Vancouver, British Columbia, Canada.

Abstract

An autonomous laboratory for thin film discovery is used to optimize the doping and annealing of organic semiconductors.

Funder

Office of Naval Research

Canadian Institute for Advanced Research

Natural Sciences and Engineering Research Council of Canada

Tata Sons

Natural Resources Canada

Canada Foundation for Innovation

Herchel Smith Graduate Fellowship

Canada First Research Excellence Fund

Canadian Foundation for Innovation

Canada Research Chairs

Stewart Blusson Quantum Matter Institute

Dr. Anders Frøseth

Jaques-Emile Dubois Student Dissertation Fellowship

Quantum Materials and Future Technologies Program

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference37 articles.

1. A. Aspuru-Guzik K. Persson A. Alexander-Katz C. Amador D. Solis-Ibarra M. Antes A. Mosby M. Aykol E. Chan S. Dwaraknath J. Montoya E. Rotenberg J. Gregoire J. Hattrick-Simpers D. M. Huang J. Hein G. Hutchison O. Isayev Y. Jung J. Kiviaho C. Kreisbeck L. Roch S. Saikin D. Tabor J. Lambert S. Odom J. Pijpers M. Ross J. Schrier R. Segal M. Sfeir H. Tribukait T. Vegge Materials Acceleration Platform: Accelerating Advanced Energy Materials Discovery by Integrating High-Throughput Methods and Artificial Intelligence (Mission Innovation Clean Energy Materials Innovation Challenge 2018); http://nrs.harvard.edu/urn-3:HUL.InstRepos:35164974.

2. Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing

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

4. A Combinatorial Approach to Materials Discovery

5. Machine learning of optical properties of materials – predicting spectra from images and images from spectra

Cited by 290 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3