| The CONTIN algorithm and its application to determine the size distribution of microgel suspensions A Scotti, W Liu, JS Hyatt, ES Herman, HS Choi, JW Kim, LA Lyon, ... The Journal of chemical physics 142 (23), 2015 | 150 | 2015 |
| Reversible inter-and intra-microgel cross-linking using disulfides JC Gaulding, MH Smith, JS Hyatt, A Fernandez-Nieves, LA Lyon Macromolecules 45 (1), 39-45, 2012 | 105 | 2012 |
| Ultrasoft, highly deformable microgels H Bachman, AC Brown, KC Clarke, KS Dhada, A Douglas, CE Hansen, ... Soft Matter 11 (10), 2018-2028, 2015 | 101 | 2015 |
| Form factor of pNIPAM microgels in overpacked states U Gasser, JS Hyatt, JJ Lietor-Santos, ES Herman, LA Lyon, ... The Journal of chemical physics 141 (3), 2014 | 69 | 2014 |
| Charge segregation in weakly ionized microgels JS Hyatt, AM Douglas, C Stanley, C Do, TH Barker, A Fernández-Nieves Physical Review E 95 (1), 012608, 2017 | 15 | 2017 |
| Segregation of mass at the periphery of -isopropylacrylamide-co-acrylic-acid microgels at high temperatures JS Hyatt, C Do, X Hu, HS Choi, JW Kim, LA Lyon, A Fernandez-Nieves Physical Review E 92 (3), 030302, 2015 | 11 | 2015 |
| Internal structure of ultralow-crosslinked microgels: From uniform deswelling to phase separation M Tennenbaum, C Anderson, JS Hyatt, C Do, A Fernandez-Nieves Physical Review E 103 (2), 022614, 2021 | 5 | 2021 |
| Experience and lessons learned from the army rco blind signal classification competition P Wang, M Vindiola, JS Hyatt, MS Lee Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 5 | 2019 |
| Requirements for Developing Robust Neural Networks JS Hyatt, MS Lee arXiv preprint arXiv:1910.02125, 2019 | 3 | 2019 |
| Convolutional neural networks for radio frequency ray tracing MR Ziemann, JS Hyatt, MS Lee MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 618-622, 2021 | 2 | 2021 |
| Motion Amplification in Video Using Optical Flow J Hyatt, S Edwards, M Lee, ... United States, 2019 | 2 | 2019 |
| Beyond validation accuracy: incorporating out-of-distribution checks, explainability, and adversarial attacks into classifier design JS Hyatt, MS Lee Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 2 | 2019 |
| Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models JS Hyatt arXiv preprint arXiv:2208.11782, 2022 | 1 | 2022 |
| Repairing highly corrupted speech and images with U-net autoencoders MS Lee, JS Hyatt, SN Edwards Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020 | 1 | 2020 |
| Using conditional normalizing flows to generate material placements in an optimized thermal composite JS Wang, JS Hyatt, M Fish International Journal of Heat and Mass Transfer 224, 125287, 2024 | | 2024 |
| Multi-Modal Generative Adversarial Networks Make Realistic and Diverse but Untrustworthy Predictions When Applied to Ill-posed Problems. J Hyatt, M Lee SafeAI@ AAAI, 2021 | | 2021 |
| Convolutional Neural Networks for 1-D Many-Channel Data JS Hyatt, E Iglesias, M Lee, US Army Research Laboratory | | 2018 |
| Structural relaxation of supercooled liquids based on soft particles: Avoiding the glass transition at high concentrations JS Hyatt Georgia Institute of Technology, 2016 | | 2016 |
| Glass transition and jamming in soft microgel suspensions: Relationship between alpha relaxation times and elastic energy scales J Hyatt, X Hu, LA Lyon, A Fernandez-Nieves APS March Meeting Abstracts 2016, C36. 005, 2016 | | 2016 |
| Form factor of pNIPAM microgels in overpacked states JS Hyatt, JJ Lietor-Santos, ES Herman, LA Lyon Journal of Chemical Physics 141 (3), 2014 | | 2014 |
