| Bayesian optimization of a free-electron laser J Duris, D Kennedy, A Hanuka, J Shtalenkova, A Edelen, P Baxevanis, ... Physical review letters 124 (12), 124801, 2020 | 158 | 2020 |
| Demonstration of acceleration of relativistic electrons at a dielectric microstructure using femtosecond laser pulses KP Wootton, Z Wu, BM Cowan, A Hanuka, IV Makasyuk, EA Peralta, ... Optics letters 41 (12), 2696-2699, 2016 | 118 | 2016 |
| Simulation intelligence: Towards a new generation of scientific methods A Lavin, D Krakauer, H Zenil, J Gottschlich, T Mattson, J Brehmer, ... arXiv preprint arXiv:2112.03235, 2021 | 95 | 2021 |
| High-field nonlinear optical response and phase control in a dielectric laser accelerator D Cesar, S Custodio, J Maxson, P Musumeci, X Shen, E Threlkeld, ... Communications Physics 1 (1), 46, 2018 | 94 | 2018 |
| Physics model-informed Gaussian process for online optimization of particle accelerators A Hanuka, X Huang, J Shtalenkova, D Kennedy, A Edelen, Z Zhang, ... Physical Review Accelerators and Beams 24 (7), 072802, 2021 | 49 | 2021 |
| Multiobjective Bayesian optimization for online accelerator tuning R Roussel, A Hanuka, A Edelen Physical Review Accelerators and Beams 24 (6), 062801, 2021 | 47 | 2021 |
| Accurate and confident prediction of electron beam longitudinal properties using spectral virtual diagnostics A Hanuka, C Emma, T Maxwell, AS Fisher, B Jacobson, MJ Hogan, ... Scientific Reports 11 (1), 2945, 2021 | 33 | 2021 |
| Turn-key constrained parameter space exploration for particle accelerators using Bayesian active learning R Roussel, JP Gonzalez-Aguilera, YK Kim, E Wisniewski, W Liu, P Piot, ... Nature communications 12 (1), 5612, 2021 | 25 | 2021 |
| Uncertainty quantification for deep learning in particle accelerator applications AA Mishra, A Edelen, A Hanuka, C Mayes Physical Review Accelerators and Beams 24 (11), 114601, 2021 | 22 | 2021 |
| Online tuning and light source control using a physics-informed Gaussian process Adi A Hanuka, J Duris, J Shtalenkova, D Kennedy, A Edelen, D Ratner, ... Proceedings of the Machine Learning for the Physical Sciences Workshop …, 2019 | 22 | 2019 |
| Uncertainty quantification for virtual diagnostic of particle accelerators O Convery, L Smith, Y Gal, A Hanuka Physical Review Accelerators and Beams 24 (7), 074602, 2021 | 19 | 2021 |
| Operation regimes of a dielectric laser accelerator A Hanuka, L Schächter Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2018 | 18 | 2018 |
| Optimized operation of dielectric laser accelerators: Single bunch A Hanuka, L Schächter Physical Review Accelerators and Beams 21 (5), 054001, 2018 | 17 | 2018 |
| Cumulative material damage from train of ultrafast infrared laser pulses A Hanuka, KP Wootton, Z Wu, K Soong, IV Makasyuk, RJ England, ... High Power Laser Science and Engineering 7, e7, 2019 | 16 | 2019 |
| Conceptual layout for a wafer-scale dielectric laser accelerator RJ England, RJ Noble, B Fahimian, B Loo, E Abel, A Hanuka, L Schachter AIP Conference Proceedings 1777 (1), 2016 | 15 | 2016 |
| Bragg accelerator optimization A Hanuka, L Schächter High Power Laser Science and Engineering 2, e24, 2014 | 13 | 2014 |
| Virtual diagnostic suite for electron beam prediction and control at facet-ii C Emma, A Edelen, A Hanuka, B O’Shea, A Scheinker Information 12 (2), 61, 2021 | 11 | 2021 |
| Machine learning and surrogates models for simulation-based optimization of accelerator design R Lehe, A Hanuka, A Edelen, X Huang, C Mayes, N Cook, A Huebl, ... Snowmass21 LOI, 2020 | 11 | 2020 |
| Embracing modern software tools and user-friendly practices, when distributing scientific codes R Lehe, A Huebl, JL Vay, A Friedman, M Thevenet, C Mitchell, ... Snowmass21 LOI, 2020 | 11 | 2020 |
| Optimized operation of dielectric laser accelerators: Multibunch A Hanuka, L Schächter Physical Review Accelerators and Beams 21 (6), 064402, 2018 | 10 | 2018 |
