Bulletin of the American Physical Society

APS March Meeting 2016

Volume 61, Number 2

Monday–Friday, March 14–18, 2016; Baltimore, Maryland

Session Index

Session E22: Predicting and Classifying Materials via High-Throughput Databases and Machine Learning I

Focus

Show Abstracts

Sponsoring Units: DCOMP
Chair: Gus Hart, Brigham Young University
Room: 321

Tuesday, March 15, 2016 8:00AM - 8:12AM		E22.00001: Novel energy materials through structural search Maximilian Amsler, Stefan Goedecker, Chris Wolverton Preview Abstract
Tuesday, March 15, 2016 8:12AM - 8:24AM		E22.00002: High-throughput Screening and Statistical Learning for the Design of Transparent Conducting Oxides Christopher Sutton, Luca Ghiringhelli, Matthias Scheffler Preview Abstract
Tuesday, March 15, 2016 8:24AM - 8:36AM		E22.00003: Many-body physics via machine learning Louis-Francois Arsenault, O. Anatole von Lilienfeld, Andrew J. Millis Preview Abstract
Tuesday, March 15, 2016 8:36AM - 9:12AM		E22.00004: Deep Wavelet Scattering for Quantum Energy Regression Invited Speaker: Matthew Hirn Preview Abstract
Tuesday, March 15, 2016 9:12AM - 9:24AM		E22.00005: Machine learning bandgaps of double perovskites Ghanshyam Pilania, Arun Mannodi-Kanakkithodi, Blas Uberuaga, Rampi Ramprasad, James Gubernatis, Turab Lookman Preview Abstract
Tuesday, March 15, 2016 9:24AM - 9:36AM		E22.00006: A Multi-Objective Optimization Technique to Model the Pareto Front of Organic Dielectric Polymers J. E. Gubernatis, A. Mannodi-Kanakkithodi, R. Ramprasad, G. Pilania, T. Lookman Preview Abstract
Tuesday, March 15, 2016 9:36AM - 9:48AM		E22.00007: A New Silicon Allotrope with a Direct Band Gap for Optoelectronic Applications Yaguang Guo, Qian Wang, Yoshiyuki Kawazoe, Puru Jena Preview Abstract
Tuesday, March 15, 2016 9:48AM - 10:00AM		E22.00008: A comprehensive polymer dataset for accelerated property prediction and design Huan Tran, Arun Kumar Mannodi-Kanakkithodi, Chiho Kim, Vinit Sharma, Ghanshyam Oilania, Rampi Ramprasad Preview Abstract
Tuesday, March 15, 2016 10:00AM - 10:12AM		E22.00009: Application of Machine Learning tools to recognition of molecular patterns in STM images Artem Maksov, Maxim Ziatdinov, Shintaro Fujii, Manabu Kiguchi, Shuhei Higashibayashi, Hidehiro Sakurai, Sergei Kalinin, Bobby Sumpter Preview Abstract
Tuesday, March 15, 2016 10:12AM - 10:24AM		E22.00010: Accurate Models of Formation Enthalpy Created using Machine Learning and Voronoi Tessellations Logan Ward, Rosanne Liu, Amar Krishna, Vinay Hegde, Ankit Agrawal, Alok Choudhary, Chris Wolverton Preview Abstract
Tuesday, March 15, 2016 10:24AM - 10:36AM		E22.00011: Description of interatomic interactions with neural networks Samad Hajinazar, Junping Shao, Aleksey N. Kolmogorov Preview Abstract
Tuesday, March 15, 2016 10:36AM - 10:48AM		E22.00012: Learning targeted materials properties from data Turab Lookman, Prasanna V Balachandran, Xue Dezhen, James Theiler, John Hogden Preview Abstract
Tuesday, March 15, 2016 10:48AM - 11:00AM		E22.00013: Neural-network-biased genetic algorithms for materials design Tarak Patra, Venkatesh Meenakshisundaram, David Simmons Preview Abstract

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Bulletin of the American Physical Society

APS March Meeting 2016

Volume 61, Number 2

Monday–Friday, March 14–18, 2016; Baltimore, Maryland

Session Index

Session E22: Predicting and Classifying Materials via High-Throughput Databases and Machine Learning I

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