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Dr. Adi Hanuka
Dr. Adi Hanuka
Stanford Linear Accelerator (SLAC, National Lab)
Verified email at slac.stanford.edu
Title
Cited by
Cited by
Year
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
1592020
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
1182016
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
952021
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
942018
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
502021
Multiobjective Bayesian optimization for online accelerator tuning
R Roussel, A Hanuka, A Edelen
Physical Review Accelerators and Beams 24 (6), 062801, 2021
482021
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
332021
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
252021
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
222021
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
222019
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
192021
Operation regimes of a dielectric laser accelerator
A Hanuka, L Schächter
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2018
182018
Optimized operation of dielectric laser accelerators: Single bunch
A Hanuka, L Schächter
Physical Review Accelerators and Beams 21 (5), 054001, 2018
172018
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
162019
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
152016
Bragg accelerator optimization
A Hanuka, L Schächter
High Power Laser Science and Engineering 2, e24, 2014
132014
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
112021
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
112020
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
112020
Optimized operation of dielectric laser accelerators: Multibunch
A Hanuka, L Schächter
Physical Review Accelerators and Beams 21 (6), 064402, 2018
102018
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Articles 1–20