Machine learning of optical properties of materials – predicting spectra from images and images from spectra
Author:
Affiliation:
1. Joint Center for Artificial Photosynthesis
2. California Institute of Technology
3. Pasadena
4. USA
Abstract
Assembling the world's largest materials image and spectroscopy dataset enables training of machine learning models that learn hidden relationships in materials data, providing a key example of the data requirements to capitalize on recent advancements in computer science.
Funder
Basic Energy Sciences
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2019/SC/C8SC03077D
Reference38 articles.
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