Monday, March 4, 2019
8:00AM - 8:36AM
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A18.00001: Unsupervised machine learning of single crystal x-ray diffraction data
Invited Speaker:
Jordan Venderley
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Monday, March 4, 2019
8:36AM - 8:48AM
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A18.00002: X-ray hyperspectral classification of the metal-insulator transition in NdNiO3
William Zheng, Alexander Swinton McLeod, Kirk W Post, Matthias Hepting, Martin Bluschke, Matteo Minola, Alexander Boris, Eva Benckiser, Rajesh V Chopdekar, Andreas Scholl, Bernhard Keimer, Dimitri Basov
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Monday, March 4, 2019
8:48AM - 9:00AM
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A18.00003: Classifying Grazing Incidence X-ray Scattering Patterns via Convolutional Neural Networks
Charles Melton, Shuai Liu, Alexander Hexemer, Daniela Ushizima
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Monday, March 4, 2019
9:00AM - 9:12AM
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A18.00004: Deep learning X-ray Absorption Near Edge Spectra
Liang Li, Maria Chan
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Monday, March 4, 2019
9:12AM - 9:24AM
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A18.00005: Using machine learning to predict local chemical environments from X-ray absorption spectra
Deyu Lu, Matthew Carbone, Mehmet Topsakal, Shinjae Yoo
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Monday, March 4, 2019
9:24AM - 9:36AM
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A18.00006: Machine Learning Approach for the Discovery of Enhanced Magnetocaloric Effect in Single Molecule Magnets
Ludwig Holleis, Bellave Shivaram, Prasanna Balachandran
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Monday, March 4, 2019
9:36AM - 9:48AM
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A18.00007: A Classifier for Metal-Insulator Transitions
Nicholas Wagner, James M Rondinelli
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Monday, March 4, 2019
9:48AM - 10:00AM
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A18.00008: Machine-learning model to predict adsorption energies in thiolated bimetallic nanoclusters
Gihan Panapitiya, Guillermo AvendaƱo Frano, James Patrick Lewis
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Monday, March 4, 2019
10:00AM - 10:12AM
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A18.00009: Model Selection Based on Bayesian Inference that Uncovers Fundamental Dynamics of Desiccation Crack Patterns
Shin-ichi Ito, Akio Nakahara, Satoshi Yukawa
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Monday, March 4, 2019
10:12AM - 10:24AM
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A18.00010: A machine-learning approach to magnetic neutron scattering
Robert Twyman, Stuart J. Gibson, James Molony, Jorge Quintanilla
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