Monday, March 6, 2023
3:00PM - 3:36PM
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D53.00001: Teaching Core-Hole Spectroscopy to a Deep Neural Network
Invited Speaker:
Conor Rankine
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Monday, March 6, 2023
3:36PM - 3:48PM
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D53.00002: AutoML-accelerated EELS/XAS as an advanced structure characterization tool
Haili Jia, Gihyeok Lee, Yiming Chen, Wanli Yang, Maria K Chan
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Monday, March 6, 2023
3:48PM - 4:00PM
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D53.00003: Featurization Approaches for Machine Learning of X-ray Absorption Spectra
Yiming Chen, Maria K Chan, Shyue Ping Ong, Chengjun Sun, Steve M Heald, chi chen
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Monday, March 6, 2023
4:00PM - 4:12PM
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D53.00004: Multi-code Benchmark on Ti K-edge X-ray Absorption Spectra of Ti-O Compounds
Fanchen Meng, Benedikt Maurer, Fabian Peschel, Sencer Selcuk, Mark S Hybertsen, Xiaohui Qu, Christian W Vorwerk, Claudia Draxl, John Vinson, Deyu Lu
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Monday, March 6, 2023
4:12PM - 4:24PM
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D53.00005: Deep Learning and Infrared Spectroscopy: Representation Learning with a β-Variational Autoencoder
Michael Grossutti, John R Dutcher
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Monday, March 6, 2023
4:24PM - 4:36PM
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D53.00006: A machine learning framework for Raman spectrum prediction
Nina Andrejevic, Michael J Davis, Mingda Li, Maria K Chan
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Monday, March 6, 2023
4:36PM - 4:48PM
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D53.00007: AI-powered biotechnology platform of single-cell Raman micro-spectroscopy enables high-resolution dynamical phenotyping study of bacterial growth and cellular heterogeneity
Zijian Wang, Jenny Kao-Kniffin, Eric J Craft, Matthew C Reid, Andrea Giometto, Kilian Q Weinberger, April Z Gu
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Monday, March 6, 2023
4:48PM - 5:00PM
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D53.00008: EllipsoNet: Deep-learning-enabled optical ellipsometry for complex thin films
Ziyang Wang
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Monday, March 6, 2023
5:00PM - 5:12PM
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D53.00009: Exploiting Sparsity in Artificial Neural Networks for Spectroscopic Data
Jakub Vrabel, Erik Kepes, Pavel Nedelnik, Pavel Porizka, Jozef Kaiser
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Monday, March 6, 2023
5:12PM - 5:24PM
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D53.00010: Deep machine learning the spectral function of a hole in a quantum antiferromagnet
Weiguo Yin, Jackson Lee, Matthew R Carbone
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Monday, March 6, 2023
5:24PM - 5:36PM
Author not Attending
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D53.00011: A Modernized View of Coherence Pathways in Magnetic Resonance Spectroscopy
John M Franck
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Monday, March 6, 2023
5:36PM - 5:48PM
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D53.00012: Machine Learning for Improvements to Gamma Spectroscopy in Nuclear Fusion Diagnostics
Kimberley S Lennon, Callum Grove, Joseph Neilson, Chantal Nobs, Lee Packer, Robin Smith
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