Bulletin of the American Physical Society
APS March Meeting 2016
Volume 61, Number 2
Monday–Friday, March 14–18, 2016; Baltimore, Maryland
Session E22: Predicting and Classifying Materials via High-Throughput Databases and Machine Learning I
8:00 AM–11:00 AM,
Tuesday, March 15, 2016
Room: 321
Sponsoring
Unit:
DCOMP
Chair: Gus Hart, Brigham Young University
Abstract ID: BAPS.2016.MAR.E22.2
Abstract: E22.00002 : High-throughput Screening and Statistical Learning for the Design of Transparent Conducting Oxides
8:12 AM–8:24 AM
Preview Abstract Abstract
Authors:
Christopher Sutton
(Fritz Haber Institute of the Max Planck Society)
Luca Ghiringhelli
(Fritz Haber Institute of the Max Planck Society)
Matthias Scheffler
(Fritz Haber Institute of the Max Planck Society)
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2016.MAR.E22.2
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