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Machine Learning Optimization of P-Type Transparent Conducting Films

preprint
revised on 29.07.2019, 16:33 and posted on 29.07.2019, 18:19 by Lingfei Wei, Xiaojie Xu, Gurudayal, James Bullock, Joel Ager
Strategic design of experiments combined with machine learning is used to optimize the synthesis of p-type transparent conductors.

Funding

US Department of Energy

History

Email Address of Submitting Author

jwager@lbl.gov

Institution

Lawrence Berkeley National Laboratory, University of California Berkeley

Country

USA

ORCID For Submitting Author

0000-0001-9334-9751

Declaration of Conflict of Interest

The authors declare no competing financial interests.

Version Notes

Revsed version 29 July 2019

Exports