Thursday, March 17, 2022
8:00AM - 8:36AM
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S32.00001: Prediction of materials properties from core-loss spectrum using neural network
Invited Speaker:
Teruyasu Mizoguchi
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Thursday, March 17, 2022
8:36AM - 9:12AM
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S32.00002: Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
Invited Speaker:
Xiaobo Qu
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Thursday, March 17, 2022
9:12AM - 9:24AM
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S32.00003: Investigation of featurization approaches for supervised machine learning in X-ray spectroscopy
Yiming Chen, Chi Chen, Chengjun Sun, Steve M Heald, Shyue Ping Ong, Maria K Chan
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Thursday, March 17, 2022
9:24AM - 9:36AM
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S32.00004: Combining machine learning and XANES spectra featurization to make chemical environment predictions of CdTe materials
Justin Pothoof, Arun Kumar Mannodi Kanakkithodi, Srisuda Rojsatien, Xinyue Wang, Amy Stegmann, Yu-Hsuan Hsiao, Mariana Bertoni, Maria K Chan
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Thursday, March 17, 2022
9:36AM - 9:48AM
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S32.00005: Deep-learning-enabled optical ellipsometry for complex thin films and 2D materials
ziyang wang, Yuxuan Lin, Shengxi Huang, Kunyan Zhang, Wenjing Wu
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Thursday, March 17, 2022
9:48AM - 10:00AM
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S32.00006: Machine Learning-Accelerated Spectral Imaging Analysis for Nanomaterials
Haili Jia, Canhui Wang, Chao Wang, Paulette Clancy
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Thursday, March 17, 2022
10:00AM - 10:12AM
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S32.00007: Elucidating proximity magnetism through polarized neutron reflectometry and machine learning
Nina Andrejevic, Zhantao Chen, Thanh Nguyen, Mingda Li
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Thursday, March 17, 2022
10:12AM - 10:24AM
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S32.00008: Predicting X-Ray Absorption Spectra of Materials Using Graph-based Neural Networks
Fanchen Meng, Matthew R Carbone, Deyu Lu
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Thursday, March 17, 2022
10:24AM - 10:36AM
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S32.00009: Identifying charge density and dielectric environment of graphene using Raman spectroscopy and deep learning
Zhuofa Chen, Yousif Khaireddin, Anna K Swan
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