Spatiotemporal control of laser intensity using differentiable programming

Kyle G Miller, Tomas E Gutierrez, Archis S Joglekar, Amanda Elliott, Dustin H Froula, John P Palastro

Open source

DOI: 10.1088/2632-2153/ae47bc
Published: 2026-02-27
Container: Machine Learning: Science and Technology
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/2632-2153/ae47bc,
  title = {Spatiotemporal control of laser intensity using differentiable programming},
  author = {Kyle G Miller and Tomas E Gutierrez and Archis S Joglekar and Amanda Elliott and Dustin H Froula and John P Palastro},
  year = {2026},
  journal = {Machine Learning: Science and Technology},
  doi = {10.1088/2632-2153/ae47bc},
  url = {https://doi.org/10.1088/2632-2153/ae47bc}
}

RIS

TY  - JOUR
TI  - Spatiotemporal control of laser intensity using differentiable programming
AU  - Kyle G Miller
AU  - Tomas E Gutierrez
AU  - Archis S Joglekar
AU  - Amanda Elliott
AU  - Dustin H Froula
AU  - John P Palastro
PY  - 2026
JO  - Machine Learning: Science and Technology
DO  - 10.1088/2632-2153/ae47bc
UR  - https://doi.org/10.1088/2632-2153/ae47bc
ER  -

APA

Miller, K. G., Gutierrez, T. E., Joglekar, A. S., Elliott, A., Froula, D. H., & Palastro, J. P. (2026). Spatiotemporal control of laser intensity using differentiable programming. Machine Learning: Science and Technology. https://doi.org/10.1088/2632-2153/ae47bc

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crossref · retrieved 2026-09-27T08:47:47.521Z