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.E22.6
Abstract: E22.00006 : A Multi-Objective Optimization Technique to Model the Pareto Front of Organic Dielectric Polymers*
9:24 AM–9:36 AM
Preview Abstract Abstract
Authors:
J. E. Gubernatis
(Theoretical Division, Los Alamos National Laboratory)
A. Mannodi-Kanakkithodi
(Department of Materials Science and Engineering, University of Connecticut)
R. Ramprasad
(Department of Materials Science and Engineering, University of Connecticut)
G. Pilania
(Materials Science and Engineering Division, Los Alamos National Laboratory)
T. Lookman
(Theoretical Division, Los Alamos National Laboratory)
*This work was supported in part by the LDRD DR program of the Los Alamos National Laboratory and in part by a Multidisciplinary University Research Initiative (MURI) grant from the Office of Naval Research.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2016.MAR.E22.6
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