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Howard Yanxon

Showing results (1-10 of 5) with videos related to

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The Journal of Chemical Physics|August 11, 2020
Neural network potential from bispectrum components: A case study on crystalline siliconHoward Yanxon, David Zagaceta, Brandon C Wood, et al.
Physical Review Letters|November 14, 2022
Size-Dependent Nucleation in Crystal Phase Transition from Machine Learning MetadynamicsPedro A Santos-Florez, Howard Yanxon, Byungkyun Kang, et al.
Journal of Synchrotron Radiation|January 5, 2023
Artifact identification in X-ray diffraction data using machine learning methodsHoward Yanxon, James Weng, Hannah Parraga, et al.
IS&T International Symposium on Electronic Imaging|December 22, 2023
Deploying Machine Learning Based Segmentation for Scientific Imaging Analysis at Synchrotron FacilitiesGuanhua Hao, Eric J Roberts, Tanny Chavez, et al.
Annual Workshop on Extreme-Scale Experiment-In-The-Loop Computing : XLOOP. Annual Workshop on Extreme-Scale Experiment-In-The-Loop Computing|December 22, 2023
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studiesZhuowen Zhao, Tanny Chavez, Elizabeth A Holman, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|August 11, 2020
Neural network potential from bispectrum components: A case study on crystalline siliconHoward Yanxon, David Zagaceta, Brandon C Wood, et al.
Physical Review Letters|November 14, 2022
Size-Dependent Nucleation in Crystal Phase Transition from Machine Learning MetadynamicsPedro A Santos-Florez, Howard Yanxon, Byungkyun Kang, et al.
Journal of Synchrotron Radiation|January 5, 2023
Artifact identification in X-ray diffraction data using machine learning methodsHoward Yanxon, James Weng, Hannah Parraga, et al.
IS&T International Symposium on Electronic Imaging|December 22, 2023
Deploying Machine Learning Based Segmentation for Scientific Imaging Analysis at Synchrotron FacilitiesGuanhua Hao, Eric J Roberts, Tanny Chavez, et al.
Annual Workshop on Extreme-Scale Experiment-In-The-Loop Computing : XLOOP. Annual Workshop on Extreme-Scale Experiment-In-The-Loop Computing|December 22, 2023
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studiesZhuowen Zhao, Tanny Chavez, Elizabeth A Holman, et al.
Pageof 1