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Prof. Ben Britton
Prof. Ben Britton
Professor
Department of Materials Engineering,
The University of British Columbia
“Advancing correlative electron backscatter diffraction based microscopy – new hardware & new algorithms, including correlation with energy dispersive X-ray spectroscopy”
Dr. Maria Chan
Dr. Maria Chan
Scientist
Center for Nanoscale Materials,
Argonne National Lab
“Integrating modeling and AI/ML for microscopy and spectroscopy data interpretation”
Prof. Qian Chen
Prof. Qian Chen
Professor and Racheff Faculty Scholar
Department of Materials Science and Engineering,
University of Illinois Urbana-Champaign
"Electron Videography and Machine Learning of Soft Matter"
Mr. Colin Gilgenbach
Mr. Colin Gilgenbach
Graduate Researcher
Department of Materials Science and Engineering,
Masschusetts institute of Technology
Prof. Yimo Han
Prof. Yimo Han
Professor
Department of Materials Science and NanoEngineering,
Rice University
"Advancing Strain Analysis in Two-Dimensional Materials Using Machine Learning-Assisted 4D-STEM"
Prof. Xiaobing Hu
Prof. Xiaobing Hu
Research Professor
Department of Materials Science and Engineering, The NUANCE Center,
Northwestern University
“Advent of the Ultrathin SiNx Membrane Era for in Situ/Operando Electron Microscopy”
Prof. Pinshane Huang
Prof. Pinshane Huang
Professor and Racheff Faculty Scholar
Department of Materials Science and Engineering,
University of Illinois Urbana-Champaign
"Advancing Atom-by-Atom Characterization for 2D Materials Using Generative Networks and Electron Ptychography"
Prof. Harley Johnson
Prof. Harley Johnson
Professor and Kritzer Faculty Scholar
Department of Mechanical Science and Engineering,
University of Illinois Urbana-Champaign
Dr. Barnaby Levin
Dr. Barnaby Levin
Materials Application Scientist
Direct Electron LP
"Optimizing a monolithic active pixel sensor detector for 4D STEM"
Dr. Daniel Nemecek
Dr. Daniel Nemecek
Product Marketing Manager
Tescan Orsay Holding
"Improving phase and orientation mapping at the nanoscale"
Dr. Anahita Pakzad
Dr. Anahita Pakzad
Product Manager
Diffraction, Gatan
"Energy Filtered Diffraction by Gatan: Taking Diffraction to the Next Level"
Prof. Xiaoqing Pan
Prof. Xiaoqing Pan
Professor and Henry Samueli Endowed Chair in Engineering
Department of Physics and Astronomy,
University of California, Irvine
Prof. Yu-Tsun Shao
Prof. Yu-Tsun Shao
Professor
Department of Chemical Engineering and Materials science,
University of Southern California
"Understanding the symmetry, strain, and chirality in polar textures using multi-modal electron microscopy"
Dr. Steven Spurgeon
Dr. Steven Spurgeon
Materials Scientist
Energy and Environment Directorate,
Pacific Northwest National Laboratory
"Accelerating Discovery in the Electron Microscope: Machine Reasoning in Action"
Prof. Jean-charles Stinville
Prof. Jean-charles Stinville
Professor
Department of Materials Science and Engineering,
University of Illinois Urbana-Champaign
"Temporal and Spatial Distribution of Nanoscale Plastic Deformation in Metals: Advancements through Automated SEM Imaging and Computer Vision"
Dr. Katherine Sytwu
Dr. Katherine Sytwu
Postdoctal Researcher
Postdoctoral Researcher
Berekerly Lab
"Developing data-aware TEM analysis via machine learning"
Prof. Paul Voyles
Prof. Paul Voyles
Harvey D. Spangler Professor
Department of Materials Science and Engineering,
University of Wisconsin-Madison
"Foundry-ML: Making Materials ML FAIR"
Dr. Jon Weiss
Dr. Jon Weiss
Manager
Tescan Tempe, LLC
"Application-Driven Design of an Analytical 4D-STEM
Dr. Jianguo Wen
Dr. Jianguo Wen
Materials Scientist
Center for Nanoscale Materials,
Argonne National Lab
"3D electron diffraction for structural analysis of advanced materials"
Dr. Lijun Wu
Dr. Lijun Wu
Engineer
Condensed Matter Physics and Materials Science Department,
Brookhaven National Laboratory
Dr. Yimei Zhu
Dr. Yimei Zhu
Senior Physicist
Condensed Matter Physics and Materials Science Department,
Brookhaven National Laboratory
Dr. Maxim Ziatdinov
Dr. Maxim Ziatdinov
R&D scientist
Computational Sciences and Engineering Division Oak Ridge National Laboratory
"Advancing Machine Learning through (Electron) Microscopy: Leveraging Domain-Specific Priors and Rewards for Real-World Applications"
Stay tuned! More coming ...
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