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Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs


Oct 15, 2021
Ryan Jacobs, Mingren Shen, Yuhan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan


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Multi defect detection and analysis of electron microscopy images with deep learning


Aug 19, 2021
Mingren Shen, Guanzhao Li, Dongxia Wu, Yuhan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan


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A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations


Aug 19, 2021
Mingren Shen, Guanzhao Li, Dongxia Wu, Yudai Yaguchi, Jack C. Haley, Kevin G. Field, Dane Morgan


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Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation


Oct 29, 2020
Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan


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Assessing Graph-based Deep Learning Models for Predicting Flash Point


Feb 26, 2020
Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan

* Mol. Inf. 2020, 39, 1900101 
* 26 pages, 6 tabels, 3 figures 

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