Inverse Design for Printable Photovoltaics—Improving Efficiencies through Single Experiment Optimisation Enabled by High-Throughput Experimentation and Machine Learning

When and Where

Nov 29, 2023
11:30am - 11:45am

Sheraton, Third Floor, Fairfax B

Presenter(s)

Leonard Ng Wei Tat

Na Gyeong An

Jeungeun Kim

Luke Sutherland

Yinhua Zhou

Liu Yang

Dong Wook Chang

Tawfique Hasan

Mei Gao

Doojin Vak

Co-Author(s)

Leonard Ng Wei Tat¹,Na Gyeong An²,Jeungeun Kim²,Luke Sutherland²,Yinhua Zhou³,Liu Yang³,Dong Wook Chang⁴,Tawfique Hasan⁵,Mei Gao²,Doojin Vak²

Nanyang Technological University¹,Commonwealth Scientific and Industrial Research Organisation²,Huazhong University of Science and Technology³,Pukyong National University⁴,University of Cambridge⁵

Symposium Organizers

Milad Abolhasani, North Carolina State University

Keith Brown, Boston University

B. Reeja Jayan, Carnegie Mellon University

Xiaonan Wang, Tsinghua University

Session Chairs

John Gregoire

Kedar Hippalgaonkar

Symposium Supporters

2023 MRS Fall Meeting & Exhibit