التفاصيل البيبلوغرافية
| العنوان: |
Optimization of laser-driven quantum beam generation and the applications with artificial intelligence. |
| المؤلفون: |
Kuramitsu, Y., Taguchi, T., Nikaido, F., Minami, T., Hihara, T., Suzuki, S., Oda, K., Kuramoto, K., Yasui, T., Abe, Y., Ibano, K., Takabe, H., Chu, C. M., Wu, K. T., Woon, W. Y., Chen, S. H., Jao, C. S., Chen, Y. C., Liu, Y. L., Morace, A. |
| المصدر: |
Physics of Plasmas; May2024, Vol. 31 Issue 5, p1-12, 12p |
| مصطلحات موضوعية: |
ARTIFICIAL intelligence, ION beams, NUCLEAR track detectors, LASER pulses, LASER plasmas, PLASMA turbulence, CONVOLUTIONAL neural networks |
| مستخلص: |
We have investigated space and astrophysical phenomena in nonrelativistic laboratory plasmas with long high-power lasers, such as collisionless shocks and magnetic reconnections, and have been exploring relativistic regimes with intense short pulse lasers, such as energetic ion acceleration using large-area suspended graphene. Increasing the intensity and repetition rate of the intense lasers, we have to handle large amounts of data from the experiments as well as the control parameters of laser beamlines. Artificial intelligence (AI) such as machine learning and neural networks may play essential roles in optimizing the laser and target conditions for efficient laser ion acceleration. Implementing AI into the laser system in mind, as the first step, we are introducing machine learning in ion etch pit analyses detected on plastic nuclear track detectors. Convolutional neural networks allow us to analyze big ion etch pit data with high precision and recall. We introduce one of the applications of laser-driven ion beams using AI to reconstruct vector electric and magnetic fields in laser-produced turbulent plasmas in three dimensions. [ABSTRACT FROM AUTHOR] |
|
Copyright of Physics of Plasmas is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
Find this article in full text from Scitation.