| Topological chaos in active nematics AJ Tan, E Roberts, SA Smith, UA Olvera, J Arteaga, S Fortini, KA Mitchell, ... Nature Physics 15 (10), 1033-1039, 2019 | 87 | 2019 |
| Ensemble-based topological entropy calculation (E-tec) E Roberts, S Sindi, SA Smith, KA Mitchell Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (1), 2019 | 13 | 2019 |
| A comparison of deep-learning-based inpainting techniques for experimental X-ray scattering T Chavez, EJ Roberts, PH Zwart, A Hexemer Journal of applied crystallography 55 (5), 1277-1288, 2022 | 11 | 2022 |
| Topological chaos in a three-dimensional spherical fluid vortex SA Smith, J Arenson, E Roberts, S Sindi, KA Mitchell Europhysics Letters 117 (6), 60005, 2017 | 6 | 2017 |
| Experiences on building a component-based Grid portal toolkit M Thomas, CJ Barker, J Boisseau, M Dahan, R Regno, E Roberts, A Seth, ... in Concurrency & Computation: Practice & Experience, 2005 | 5 | 2005 |
| MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies Z Zhao, T Chavez, EA Holman, G Hao, A Green, H Krishnan, ... 2022 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing …, 2022 | 2 | 2022 |
| Dlsia: Deep learning for scientific image analysis EJ Roberts, T Chavez, A Hexemer, PH Zwart Journal of Applied Crystallography 57 (2), 2024 | 1 | 2024 |
| Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities G Hao, EJ Roberts, T Chavez, Z Zhao, EA Holman, H Yanxon, A Green, ... IS&T International Symposium on Electronic Imaging 35, 2023 | 1 | 2023 |
| Deep learning-based identification of sub-nuclear structures in FIB-SEM images N Gupta, EJ Roberts, S Pang, CS Xu, HF Hess, F Wu, A Dernburg, ... arXiv preprint arXiv:2207.09598, 2022 | 1 | 2022 |
| Investigating Quality of Mixing of a Biological Active Nematic AJ Tan, E Roberts, KA Mitchell, LS Hirst Biophysical Journal 114 (3), 650a, 2018 | 1 | 2018 |
| Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images H Yanxon, E Roberts, H Parraga, J Weng, W Xu, U Ruett, A Hexemer, ... arXiv preprint arXiv:2310.16186, 2023 | | 2023 |
| MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies SI Campbell, Z Zhao, T Chavez, EA Holman, G Hao, A Green, H Krishnan, ... Brookhaven National Lab.(BNL), Upton, NY (United States), 2022 | | 2022 |
| MLExchange: A web-based platform enabling exchangeable machine learning workflows. Z Zhao, T Chavez, E Holman, G Hao, A Green, H Krishnan, ... CoRR, 2022 | | 2022 |
| pyMSDtorch v0. 1.0 PH Zwart, E Roberts Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States), 2021 | | 2021 |
| Computation of Topological Entropy in Three Dimensions from Fluid Trajectories E Roberts, S Sindi, S Smith, K Mitchell APS Division of Fluid Dynamics Meeting Abstracts, S12. 002, 2019 | | 2019 |
| Topological mixing in 2D active nematic liquid crystals K Mitchell, A Tan, E Roberts, S Smith, L Hirst APS March Meeting Abstracts 2019, P61. 007, 2019 | | 2019 |
| Ensemble-based Topological Entropy Calculation in Three Dimensions E Roberts, S Sindi, S Smith, K Mitchell APS March Meeting Abstracts 2019, F48. 005, 2019 | | 2019 |
| A computational geometric approach for an ensemble-based topological entropy calculation in two and three dimensions E Roberts UC Merced, 2019 | | 2019 |
| Topological dynamics in active nematic liquid crystals K Mitchell, A Tan, E Roberts, S Smith, L Hirst Bulletin of the American Physical Society 63, 2018 | | 2018 |
| Quantifying mixing in active fluids A Tan, E Roberts, K Mitchell, L Hirst APS March Meeting Abstracts 2018, R57. 013, 2018 | | 2018 |
