Accelerated screening of Cu–Ga–Fe oxide semiconductors by combinatorial spray deposition and high-throughput analysis

Author:

Wolf Maximilian12ORCID,Madsen Georg K. H.2ORCID,Dimopoulos Theodoros1ORCID

Affiliation:

1. Energy Conversion and Hydrogen, Center for Energy, AIT Austrian Institute of Technology, 1210 Vienna, Austria

2. Institute of Materials Chemistry, TU Wien, 1060 Vienna, Austria

Abstract

Platform for assessing opto-electronic materials through spray deposition of composition gradients coupled with (semi-)automatized SEM/EDS, XRD, and FTS measurements.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Chemistry (miscellaneous)

Reference62 articles.

1. A.Aspuru-Guzik and K.Persson , Materials Acceleration Platform: Accelerating Advanced Energy Materials Discovery by Integrating High-Throughput Methods and Artificial Intelligence , Canadian Institute for Advanced Research , Toronto , 2018

2. Recent advances and applications of machine learning in solid-state materials science

3. Combinatorial and High-Throughput Materials Science

4. Combinatorial screening of thin film materials: An overview

5. Thin-Film Processing Routes for Combinatorial Materials Investigations—A Review

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