| High-throughput printing of combinatorial materials from aerosols M Zeng, Y Du, Q Jiang, N Kempf, C Wei, MV Bimrose, ANM Tanvir, H Xu, ... Nature 617 (7960), 292-298, 2023 | 39 | 2023 |
| Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials DJ McGregor, MV Bimrose, C Shao, S Tawfick, WP King Additive Manufacturing 55, 102848, 2022 | 24 | 2022 |
| Large batch metrology on internal features of additively manufactured parts using X-ray computed tomography DJ McGregor, MV Bimrose, S Tawfick, WP King Journal of Materials Processing Technology 306, 117605, 2022 | 6 | 2022 |
| A Sewing Approach to the Fabrication of Eco/bioresorbable Electronics Y Wu, E Rytkin, M Bimrose, S Li, YS Choi, G Lee, Y Wang, L Tang, ... Small 19 (49), 2305017, 2023 | 2 | 2023 |
| Federated learning enables privacy-preserving and data-efficient dimension prediction and part qualification across additive manufacturing factories M Mehta, MV Bimrose, DJ McGregor, WP King, C Shao Journal of Manufacturing Systems 74, 752-761, 2024 | | 2024 |
| Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography MV Bimrose, T Hu, DJ McGregor, J Wang, S Tawfick, C Shao, Z Liu, ... Journal of Intelligent Manufacturing, 1-15, 2024 | | 2024 |
| A Sewing Approach to the Fabrication of Eco/bioresorbable Electronics (Small 49/2023) Y Wu, E Rytkin, M Bimrose, S Li, YS Choi, G Lee, Y Wang, L Tang, ... Small 19 (49), 2370409, 2023 | | 2023 |
William P. KingRalph A. Andersen Endowed Chair, Department of Mechanical Science and Engineering, University ofVerified email at illinois.edu
