| Deep learning for semantic segmentation of defects in advanced STEM images of steels G Roberts, SY Haile, R Sainju, DJ Edwards, B Hutchinson, Y Zhu Scientific reports 9 (1), 12744, 2019 | 134 | 2019 |
| DefectTrack: a deep learning-based multi-object tracking algorithm for quantitative defect analysis of in-situ TEM videos in real-time R Sainju, WY Chen, S Schaefer, Q Yang, C Ding, M Li, Y Zhu Scientific reports 12 (1), 15705, 2022 | 12 | 2022 |
| In Situ Studies of Single-Nanoparticle-Level Nickel Thermal Oxidation: From Early Oxide Nucleation to Diffusion-Balanced Oxide Thickening R Sainju, D Rathnayake, H Tan, G Bollas, AM Dongare, SL Suib, Y Zhu ACS nano 16 (4), 6468-6479, 2022 | 10 | 2022 |
| Detecting gender bias in transformer-based models: A case study on bert B Li, H Peng, R Sainju, J Yang, L Yang, Y Liang, W Jiang, B Wang, H Liu, ... arXiv preprint arXiv:2110.15733, 2021 | 10 | 2021 |
| Direct observation of tungsten oxidation studied by in situ environmental TEM M Togaru, R Sainju, L Zhang, W Jiang, Y Zhu Materials Characterization 174, 111016, 2021 | 8 | 2021 |
| DefectNet–a deep convolutional neural network for semantic segmentation of crystallographic defects in advanced microscopy images G Roberts, R Sainju, B Hutchinson, MB Toloczko, DJ Edwards, Y Zhu Microscopy and Microanalysis 25 (S2), 164-165, 2019 | 6 | 2019 |
| Deep Learning for Automated Quantification of Irradiation Defects in TEM Data: Relating Pixel-Level Errors to Defect Properties R Sainju, G Roberts, WY Chen, B Hutchinson, Q Yang, C Ding, ... Microscopy and Microanalysis 29 (Supplement_1), 1559-1560, 2023 | 1 | 2023 |
| Deep Learning-based Computer Vision for Radiation Defect Analysis: from Static Defect Segmentation to Dynamic Defect Tracking R Sainju, WY Chen, S Schaefer, G Roberts, M Toloczko, D Edwards, M Li, ... Microscopy and Microanalysis 27 (S1), 1464-1465, 2021 | 1 | 2021 |
| Automated Quantitative Analysis of Extended Irradiation Defects-Dislocations, Voids and Precipitates in Neutron Irradiated HT-9 Steel R Sainju, C Ophus, MB Toloczko, DJ Edwards, Y Zhu Microscopy and Microanalysis 25 (S2), 1564-1565, 2019 | 1 | 2019 |
| In-situ Thermal Oxidation of Fusion PFM Tungsten Using Atmospheric Environmental TEM R Sainju, M Togaru, L Zhang, W Jiang, W Setyawan, OE Atwani, Y Zhu Microscopy and Microanalysis 29 (Supplement_1), 1462-1463, 2023 | | 2023 |
| In-situ ETEM Observation of Competing Mechanisms for Filamentous Carbon Gasification MR Nielsen, S March, R Sainju, C Zhu, PX Gao, SL Suib, Y Zhu Microscopy and Microanalysis 29 (Supplement_1), 1296-1297, 2023 | | 2023 |
| Real-time Multi-Object Tracking of Ion-irradiation Induced Defects in in situ TEM Videos R Sainju, WY Chen, S Schaefer, Q Yang, C Ding, M Li, Y Zhu Microscopy and Microanalysis 28 (S1), 2058-2059, 2022 | | 2022 |
| Beyond In Situ ETEM Imaging: Unveiling the Size-dependent Oxidation Mechanism of Metallic Nanoparticles by Individual Nanoparticle-level Oxidation Kinetic Analysis R Sainju, D Rathnayake, H Tan, G Bollas, AM Dongare, SL Suib, Y Zhu Microscopy and Microanalysis 28 (S1), 160-161, 2022 | | 2022 |
| Tracking and Understanding Nanocatalyst Sintering and Regeneration using Deep Learning-assisted In Situ Environmental TEM R Sainju, S Suib, C Ding, Y Zhu Microscopy and Microanalysis 27 (S1), 2216-2217, 2021 | | 2021 |
| Towards an End-to-end Radiation Defect Quantitative Characterization Workflow Using Advanced Microscopy Images R Sainju, G Roberts, C Ophus, B Hutchinson, J Wang, MB Toloczko, ... Microscopy and Microanalysis 26 (S2), 1112-1114, 2020 | | 2020 |
| ADVANCED-STEM-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION OF DEFECTS IN STEELS Y Zhu, GW Roberts, R Sainju, BJ Hutchinson, RJ Kurtz, MB Toloczko, ... Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2019 | | 2019 |
| 430–Towards an End-to-End Radiation Defect Quantitative Characterization Workflow Using Advanced Microscopy Images Y Zhu, R Sainju, G Roberts, C Ophus, B Hutchinson, J Wang, M Toloczko, ... | | |
Yuanyuan ZhuUniversity of Connecticut, Pacific Northwest National LaboratoryVerified email at uconn.edu
