Spatiotemporal control of laser intensity using differentiable programming

Abstract Optical techniques for spatiotemporal control can produce laser pulses with custom amplitude, phase, or polarization structure. In nonlinear optics and plasma physics, the use of structured pulses typically follows a forward design approach, in which the efficacy of a known structure is analyzed for a particular application. Inverse approaches, in contrast, enable the discovery of new structures with the potential for superior performance. Here, an implementation of the unidirectional pulse propagation equation that supports automatic differentiation is combined with gradient-based optimization to design structured pulses with features that are advantageous for a range of nonlinear optical and plasma-based applications: (1) a longitudinally uniform intensity over an extended region, (2) a superluminal intensity peak that travels many Rayleigh ranges with constant duration, spot size, and amplitude, and (3) a laser pulse that ionizes a gas to form a uniform column of plasma. In the final case, optimizing the full spatiotemporal structure improves the performance by a factor of 15 compared to optimizing only spatial or only temporal structure, highlighting the advantage of spatiotemporal control.

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Publication Details

Journal
Machine Learning Science and Technology
Published
2026-02-18
DOI
https://doi.org/10.1088/2632-2153/ae47bc
Primary Topic
Laser-Matter Interactions and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatiotemporal control of laser intensity using differentiable programming

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Machine Learning Science and Technology
Laser-Matter Interactions and Applications
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Spatiotemporal control of laser intensity using differentiable programming

Archis Joglekar, D. H. Froula, Kyle Glen Miller, John Palastro, Amanda L. Elliott, Tomas E Gutierrez
article en

Abstract

Abstract Optical techniques for spatiotemporal control can produce laser pulses with custom amplitude, phase, or polarization structure. In nonlinear optics and plasma physics, the use of structured pulses typically follows a forward design approach, in which the efficacy of a known structure is analyzed for a particular application. Inverse approaches, in contrast, enable the discovery of new structures with the potential for superior performance. Here, an implementation of the unidirectional pulse propagation equation that supports automatic differentiation is combined with gradient-based optimization to design structured pulses with features that are advantageous for a range of nonlinear optical and plasma-based applications: (1) a longitudinally uniform intensity over an extended region, (2) a superluminal intensity peak that travels many Rayleigh ranges with constant duration, spot size, and amplitude, and (3) a laser pulse that ionizes a gas to form a uniform column of plasma. In the final case, optimizing the full spatiotemporal structure improves the performance by a factor of 15 compared to optimizing only spatial or only temporal structure, highlighting the advantage of spatiotemporal control.

Machine Learning Science and TechnologyVol. 7(2)
SUNY Morrisville (US), Energetics (United States) (US), GreenWood Resources (United States) (US), University of Rochester (US)
U.S. Department of Energy, University of Rochester, National Energy Research Scientific Computing Center, National Nuclear Security Administration, Fusion Energy Sciences
Openalex Percentile: Top 50%
Laser-Matter Interactions and Applications
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