Published in
Royal Society of Chemistry, Digital Discovery, 2023
DOI: 10.1039/d2dd00149g
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Tackling Data Scarcity with Transfer Learning: A Case Study of Thickness Characterization from Optical Spectra of Perovskite Thin Films
Journal article published in 2023 by
Siyu Isaac Parker Tian 
,
Zekun Ren,
Selvaraj Venkataraj,
Yuanhang Cheng,
Daniil Bash ,
Felipe Oviedo,
Senthilnath Jayavelu,
J. Senthilnath,
Vijila Chellappan ,
Yee-Fun Lim,
Armin Gerhard Aberle ,
Benjamin P. MacLeod,
Fraser G. L. Parlane,
Curtis P. Berlinguette ,
Qianxiao Li
and other authors.
,
Zekun Ren,
Selvaraj Venkataraj,
Yuanhang Cheng,
Daniil Bash ,
Felipe Oviedo,
Senthilnath Jayavelu,
J. Senthilnath,
Vijila Chellappan ,
Yee-Fun Lim,
Armin Gerhard Aberle ,
Benjamin P. MacLeod,
Fraser G. L. Parlane,
Curtis P. Berlinguette ,
Qianxiao Li
and other authors.
This paper is made freely available by the publisher.
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Abstract
Transfer learning (TL) increasingly becomes an important tool in handling data scarcity, especially when applying machine learning (ML) to novel materials science problems. In autonomous workflows to optimize optoelectronic thin...