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High Throughput Light Absorber Discovery, Part 1: An Algorithm for Automated Tauc Analysis.

Abstract：

:High-throughput experimentation provides efficient mapping of composition-property relationships, and its implementation for the discovery of optical materials enables advancements in solar energy and other technologies. In a high throughput pipeline, automated data processing algorithms are often required to match experimental throughput, and we present an automated Tauc analysis algorithm for estimating band gap energies from optical spectroscopy data. The algorithm mimics the judgment of an expert scientist, which is demonstrated through its application to a variety of high throughput spectroscopy data, including the identification of indirect or direct band gaps in Fe2O3, Cu2V2O7, and BiVO4. The applicability of the algorithm to estimate a range of band gap energies for various materials is demonstrated by a comparison of direct-allowed band gaps estimated by expert scientists and by automated algorithm for 60 optical spectra.

journal_name

ACS Comb Sci

journal_title

ACS combinatorial science

authors

Suram SK,Newhouse PF,Gregoire JM

doi

10.1021/acscombsci.6b00053

subject

Has Abstract

pub_date

2016-11-14 00:00:00

pages

673-681

issue

11

eissn

2156-8952

issn

2156-8944

journal_volume

18

pub_type

杂志文章

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