Sledovať
John Hyatt
John Hyatt
Physicist, DEVCOM Army Research Laboratory
Overená e-mailová adresa na: army.mil
Názov
Citované v
Citované v
Rok
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
1512015
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
1052012
Ultrasoft, highly deformable microgels
H Bachman, AC Brown, KC Clarke, KS Dhada, A Douglas, CE Hansen, ...
Soft Matter 11 (10), 2018-2028, 2015
1022015
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
692014
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
152017
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
112015
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
52021
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
52019
Requirements for Developing Robust Neural Networks
JS Hyatt, MS Lee
arXiv preprint arXiv:1910.02125, 2019
32019
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
22021
Motion Amplification in Video Using Optical Flow
J Hyatt, S Edwards, M Lee, ...
United States, 2019
22019
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
22019
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
12022
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
12020
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
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20