Yuanyuan Zhu
Associate Professor/Department of Materials Science and Engineering

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On the Challenges (and Opportunities) in In-situ Environmental STEM
2018
Research Type: Poster/Presentation

Design and synthesis of highly active MoVTeNb-oxides for ethane oxidative dehydrogenation
2019
Maricruz Sanchez-Sanchez, Daniel Melzer, Klaus Wanninger, Gerhard Mestl, Johannes A Lercher, Nigel D Browning, Yuanyuan Zhu
Research Type: Journal Article

Dose Rate Effects on Disordering Rate and Void Growth in Self-Ion Irradiated Tungsten
2019
Limin Zhang, Wahyu Setyawan, Richard J Kurtz, Yuanyuan Zhu, Charles H Henager, Jr, Nicole R Overman, Weilin Jiang, Danny J Edwards, Giridhar Nandipati
Research Type: Journal Article

DefectNet--A Deep Convolutional Neural Network for Semantic Segmentation of Crystallographic Defects in Advanced Microscopy Images
2019
Rajat Sainju, Yuanyuan Zhu, Mychailo B Toloczko, Brian Hutchinson, Danny J Edwards, Graham Roberts
Research Type: Journal Article

Removal of FIB Damage using Flash Electropolishing for Artifact-free TEM Foils
2019
Mychailo B Toloczko, Danny J Edwards, Alan Schemer-Kohrn, Jing Wang, Yuanyuan Zhu
Research Type: Journal Article

Deep learning for semantic segmentation of defects in advanced STEM images of steels
2019
Yuanyuan Zhu, Danny J Edwards, Simon Y Haile, Rajat Sainju, Brian Hutchinson, Graham Roberts
Research Type: Journal Article

Automated Quantitative Analysis of Extended Irradiation Defects-Dislocations, Voids and Precipitates in Neutron Irradiated HT-9 Steel
2019
Yuanyuan Zhu, Danny J Edwards, Mychailo B Toloczko, Rajat Sainju, Colin Ophus
Research Type: Journal Article

ADVANCED-STEM-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION OF DEFECTS IN STEELS
2019
Mychailo B Toloczko, Charles H Henager, Richard J Kurtz, Yuanyuan Zhu, Brian J Hutchinson, Rajat Sainju, Danny J Edwards, Graham W Roberts
Research Type: Other Scholarly Work

DefectSegNet – A Deep CNN for Semantic Segmentation of Crystallographic Defects in Advanced Microscopy Images
2019
Research Type: Poster/Presentation

Automated Quantitative Analysis of Extended Irradiation Defects – Dislocation Lines, Loops, Voids and Precipitates in Neutron Irradiated HT-9 Steel
2019
Research Type: Poster/Presentation

In-situ Environmental (Scanning) Transmission Electron Microscopy of Solid Catalysts at Work: Opportunities
2019
Research Type: Poster/Presentation

Advanced Scanning Transmission Electron Microscopy (STEM)
2019
Research Type: Poster/Presentation

Accelerating the understanding of radiation effects via a new end-to-end defect quantification workflow
2019
Research Type: Poster/Presentation

Advanced Scanning Transmission Electron Microscopy (STEM) - Atomic, In-situ and Deep data Characterization
2019
Research Type: Poster/Presentation

Towards an End-to-End Radiation Defect Quantitative Characterization Workflow Using Advanced Microscopy Images
2020
Brian Hutchinson, Mychailo Toloczko, Graham Roberts, Charles Henager, Colin Ophus, Rajat Sainju, Richard Kurtz, Danny Edwards, Jing Wang, Yuanyuan Zhu
Research Type: Conference Proceedings

http://DOI: 10.1017/S1431927620016980
Microstructural classification of unirradiated LiAlO2 pellets by deep learning methods
2020
Conor M Artman, Karl Pazdernik, Yuanyuan Zhu, Nicole L LaHaye
Research Type: Journal Article

Self-limiting growth of ligand-free ultrasmall bimetallic nanoparticles on carbon through under temperature reduction for highly efficient methanol electrooxidation and selective hydrogenation
2020
Peter Kerns, Yuanyuan Zhu, Lei Jin, Xingsong Su, Puxian Gao, Steven L Suib, Sen Cao, Mingzhen Hu, Xingxu Lu, Lei Zhang
Research Type: Journal Article

Towards an End-to-end Radiation Defect Quantitative Characterization Workflow Using Advanced Microscopy Images
2020
Yuanyuan Zhu, Graham Roberts, Rajat Sainju, Colin Ophus, Danny J Edwards, Mychailo B Toloczko, Charles H Henager, Richard J Kurtz, Jing Wang, Brian Hutchinson
Research Type: Journal Article

Template-free Synthesis of Mesoporous and Crystalline Transition Metal Oxide Nanoplates with Abundant Surface Defects
2020
Haiyan Tan, Ben Liu, Samuel Schaefer, Peter Kerns, Wenjuan Yang, Lei Jin, Shanka Dissanayake, Mingzhen Hu, Lei Zhang, Yanliu Dang
Research Type: Journal Article

A New Crystallographic Defect Quantification Workflow via Advanced-microscopy-based Deep Learning
2020
Research Type: Poster/Presentation