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.E22.5
Abstract: E22.00005 : Machine learning bandgaps of double perovskites*
9:12 AM–9:24 AM
Preview Abstract Abstract
Authors:
Ghanshyam Pilania
(Los Alamos Natl Lab)
Arun Mannodi-Kanakkithodi
(University of Connecticut)
Blas Uberuaga
(Los Alamos Natl Lab)
Rampi Ramprasad
(University of Connecticut)
James Gubernatis
(Los Alamos Natl Lab)
Turab Lookman
(Los Alamos Natl Lab)
*Los Alamos National Laboratory LDRD program and the U.S. Department of Energy, Office of Science, Basic Energy Sciences
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2016.MAR.E22.5
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