Ultrafast Light-Matter Interaction

A special issue of Optics (ISSN 2673-3269).

Deadline for manuscript submissions: 15 December 2024 | Viewed by 2057

Special Issue Editor


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Guest Editor
1. Institute for Theoretical Physics, Universität Hamburg, 22607 Hamburg, Germany
2. The Hamburg Centre for Ultrafast Imaging, 22761 Hamburg, Germany
3. Center for Free-Electron Laser Science, 22761 Hamburg, Germany
Interests: theory of ultrafast light-matter interaction; attosecond X-ray imaging; following charge-transfer dynamics with ultrashort X-ray and XUV pulses, X-ray and XUV probes of light-driven materials

Special Issue Information

Dear Collegues,

Intense optical pulses can coherently control dynamic processes in matter, leading to light-induced transformations that have great potential for future technological breakthroughs. The manipulation of matter with light pulses has been shown to create transient high-temperature superconductivity, which allows for the manipulation of carrier dynamics at time scales limited to a pulse duration, opening up perspectives to substantially reduce the operation times of spintronic devices or paving a way towards petahertz electronics, which can trigger chemical reactions in a controllable way.

There has also recently been great progress in the developement of advanced light sources, like high-harmonic generation (HHG) sources or free-electron lasers. These advances enable us to resolve light-induced processes with unprecendeted time resolution, atomic specificity, and spacial detail.

https://www.mdpi.com/2076-3417/8/3/318

In this Special Issue, we invite submissions exploring the optical control of matter, suggesting methods to follow dynamics with advanced light sources or discussing progress in the development of ultrashort x-rays or extreme ultraviolet pulses. Both theoretical and experimental studies are welcome, as well as review papers.

Prof. Dr. Daria Popova-Gorelova
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Optics is an international peer-reviewed open access quarterly journal published by MDPI.

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Keywords

  • attosecond science
  • attosecond X-ray imaging
  • attomagnetism
  • high-harmonic generation
  • optical control of matter
  • control of matter by tailored light fields
  • light-induced currents

Published Papers (1 paper)

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Research

13 pages, 4169 KiB  
Article
Electronic Population Reconstruction from Strong-Field-Modified Absorption Spectra with a Convolutional Neural Network
by Daniel Richter, Alexander Magunia, Marc Rebholz, Christian Ott and Thomas Pfeifer
Optics 2024, 5(1), 88-100; https://doi.org/10.3390/opt5010007 - 26 Feb 2024
Viewed by 690
Abstract
We simulate ultrafast electronic transitions in an atom and corresponding absorption line changes with a numerical, few-level model, similar to previous work. In addition, a convolutional neural network (CNN) is employed for the first time to predict electronic state populations based on the [...] Read more.
We simulate ultrafast electronic transitions in an atom and corresponding absorption line changes with a numerical, few-level model, similar to previous work. In addition, a convolutional neural network (CNN) is employed for the first time to predict electronic state populations based on the simulated modifications of the absorption lines. We utilize a two-level and four-level system, as well as a variety of laser-pulse peak intensities and detunings, to account for different common scenarios of light–matter interaction. As a first step towards the use of CNNs for experimental absorption data in the future, we apply two different noise levels to the simulated input absorption data. Full article
(This article belongs to the Special Issue Ultrafast Light-Matter Interaction)
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