Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses
Abstract Optical generation of kilo-tesla scale magnetic fields enables prospective technologies and fundamental studies with unprecedentedly high magnetic field energy density. A question is the optimal configuration of proposed setups, where plenty of physical phenomena accompany the generation an...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-17202-2 |
| _version_ | 1798042662389940224 |
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| author | Iu. V. Kochetkov N. D. Bukharskii M. Ehret Y. Abe K. F. F. Law V. Ospina-Bohorquez J. J. Santos S. Fujioka G. Schaumann B. Zielbauer A. Kuznetsov Ph. Korneev |
| author_facet | Iu. V. Kochetkov N. D. Bukharskii M. Ehret Y. Abe K. F. F. Law V. Ospina-Bohorquez J. J. Santos S. Fujioka G. Schaumann B. Zielbauer A. Kuznetsov Ph. Korneev |
| author_sort | Iu. V. Kochetkov |
| collection | DOAJ |
| description | Abstract Optical generation of kilo-tesla scale magnetic fields enables prospective technologies and fundamental studies with unprecedentedly high magnetic field energy density. A question is the optimal configuration of proposed setups, where plenty of physical phenomena accompany the generation and complicate both theoretical studies and experimental realizations. Short laser drivers seem more suitable in many applications, though the process is tangled by an intrinsic transient nature. In this work, an artificial neural network is engaged for unravelling main features of the magnetic field excited with a picosecond laser pulse. The trained neural network acquires an ability to read the magnetic field values from experimental data, extremely facilitating interpretation of the experimental results. The conclusion is that the short sub-picosecond laser pulse may generate a quasi-stationary magnetic field structure living on a hundred picosecond time scale, when the induced current forms a closed circuit. |
| first_indexed | 2024-04-11T22:38:35Z |
| format | Article |
| id | doaj.art-63912bb5f442405f8af1d53a9389f929 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T22:38:35Z |
| publishDate | 2022-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-63912bb5f442405f8af1d53a9389f9292022-12-22T03:59:06ZengNature PortfolioScientific Reports2045-23222022-08-0112111210.1038/s41598-022-17202-2Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulsesIu. V. Kochetkov0N. D. Bukharskii1M. Ehret2Y. Abe3K. F. F. Law4V. Ospina-Bohorquez5J. J. Santos6S. Fujioka7G. Schaumann8B. Zielbauer9A. Kuznetsov10Ph. Korneev11National Research Nuclear University MEPhINational Research Nuclear University MEPhICentre Lasers Intenses et Applications (CELIA), UMR 5107, Université de Bordeaux - CNRS - CEAInstitute of Laser Engineering, Osaka UniversityInstitute of Laser Engineering, Osaka UniversityUniversidad de SalamancaCentre Lasers Intenses et Applications (CELIA), UMR 5107, Université de Bordeaux - CNRS - CEAInstitute of Laser Engineering, Osaka UniversityInstitut für Kernphysik, Technische Universität DarmstadtPP/PHELIX, GSINational Research Nuclear University MEPhINational Research Nuclear University MEPhIAbstract Optical generation of kilo-tesla scale magnetic fields enables prospective technologies and fundamental studies with unprecedentedly high magnetic field energy density. A question is the optimal configuration of proposed setups, where plenty of physical phenomena accompany the generation and complicate both theoretical studies and experimental realizations. Short laser drivers seem more suitable in many applications, though the process is tangled by an intrinsic transient nature. In this work, an artificial neural network is engaged for unravelling main features of the magnetic field excited with a picosecond laser pulse. The trained neural network acquires an ability to read the magnetic field values from experimental data, extremely facilitating interpretation of the experimental results. The conclusion is that the short sub-picosecond laser pulse may generate a quasi-stationary magnetic field structure living on a hundred picosecond time scale, when the induced current forms a closed circuit.https://doi.org/10.1038/s41598-022-17202-2 |
| spellingShingle | Iu. V. Kochetkov N. D. Bukharskii M. Ehret Y. Abe K. F. F. Law V. Ospina-Bohorquez J. J. Santos S. Fujioka G. Schaumann B. Zielbauer A. Kuznetsov Ph. Korneev Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses Scientific Reports |
| title | Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses |
| title_full | Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses |
| title_fullStr | Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses |
| title_full_unstemmed | Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses |
| title_short | Neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses |
| title_sort | neural network analysis of quasistationary magnetic fields in microcoils driven by short laser pulses |
| url | https://doi.org/10.1038/s41598-022-17202-2 |
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