巻号一覧
最新号
「レーザー科学における自動化と深層学習の進展」特集号
選択された号の論文の8件中1～8を表示しています
- |<
- <
- 1
- >
- >|
「レーザー科学における自動化と深層学習の進展」特集号
特集
レーザー解説
-
藤岡 慎介2022 年 50 巻 12 号 p. 659-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーThis paper introduces special issue on the recent progress of deep learning and automation in laser science. The rapid development of the user-friendly machine learning and deep learning technologies is stimulating digital transformation in the laser science and other related communities. This special issue consist of the articles written by specialist of both laser science/technology and information science/ technology. The synesis of these two technologies is expected to change the style of research, development, and operation of the laser system.抄録全体を表示PDF形式でダウンロード (361K) -
奥 浩行, 高橋 圭介, 長友 英夫, 永田 みず穗, 久保田 良典, 石田 正人, King Fai Farley LAW, 橋本 賢子, ...2022 年 50 巻 12 号 p. 661-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーWorld class large-energy and high-power laser facilities are operated for decades in the Institute of Laser Engineering, Osaka University. These laser facilities are used for the research on high energy density science such as the laser fusion, the relativistic laser-plasma interaction and the laser processing. Along with the development of the high-power laser system, operational technology has been improved. Recent development in laser operation, remote control, experimental databases and networks are discussed.抄録全体を表示PDF形式でダウンロード (2677K) -
宮西 宏併, 末田 敬一, 籔内 俊毅2022 年 50 巻 12 号 p. 668-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーDynamic laser compression has played a key role in exploring matters in high-pressure states related to various scientific fields, such as high energy density science, planetary science, and materials science. The advent of X-ray free-electron lasers (XFELs), which are an ultrabright and ultrashort X-ray light source, has brought innovations to these fields. The utilization of XFEL in dynamic compression experiments using high-power optical lasers allows the states of dynamically compressed matters to be captured with unprecedented fidelity. In addition to expanding experimental capabilities, the use of a high-repetition rate XFEL has promoted improvements in the research environment in order to produce results more efficiently. In this article, we report the current status of the experimental platform for laser compression with an XFEL at SACLA, including its remote capability and smartification of the platform.抄録全体を表示PDF形式でダウンロード (666K) -
橋田 昌樹, 井上 峻介, 升野 振一郎, 時田 茂樹2022 年 50 巻 12 号 p. 673-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーHigh intense laser systems have been used for an intense laser science at Institute for Chemical Research, Kyoto University since 2003. Our laser system has stably been used for demonstrating the experiments related to high-intense laser-matters interactions. Our laser system facility recently installed a real time and three dimentional viewing system for remote experiments. In this review, we report its performance and its interaction experiments for exploring the high-intense laser science. We also introduce for our system remote experiments.抄録全体を表示PDF形式でダウンロード (2754K) -
桐山 博光, 眞柴 雄司, 宮坂 泰弘, 中新 信彦, 近藤 康太郎, 今 亮, 福田 祐仁, 西内 満美子2022 年 50 巻 12 号 p. 678-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーThe Kansai Photon Science Institute of the National Institutes for Quantum Science and Technology (KPSI, QST) has been developing an ultrahigh-intensity Ti:sapphire chirped-pulse amplification laser system (named J-KAREN-P laser system) with petawatt (PW = 10 15 W) peak power and laser-driven quantum beam sources with J-KAREN-P. Here, we describe the configuration and output characteristics of the J-KAREN-P laser system and briefly discuss its application aimed at opening up a new research area of laser-driven quantum beam science and introduce the remote and automated operation of the J-KAREN-P laser system that started since in the last fiscal year.抄録全体を表示PDF形式でダウンロード (1296K) -
小林 洋平, 場本 圭一, 島原 光平, 遠藤 翼, 田丸 博晴, 坂上 和之, 櫻井 治之, 谷 峻太郎2022 年 50 巻 12 号 p. 683-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーCyber-physical systems (CPS) are strongly required for next-generation production systems. This paper reports what a CPS in laser processing is and how it should be constructed.抄録全体を表示PDF形式でダウンロード (1099K) -
小林 由幸2022 年 50 巻 12 号 p. 687-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーThis paper introduces the recent development and expansion of applications of deep learning, and explains how to utilize deep learning using the GUI-based deep learning development tool Neural Network Console and the embedded board computer SPRESENSE. Neural Network Console can be used for various purposes such as classification of measured signals, abnormality detection, numerical value prediction, and control. Models developed using Neural Network Console can easily run on SPRESENSE for practical use.抄録全体を表示PDF形式でダウンロード (887K) -
中島 悠太2022 年 50 巻 12 号 p. 691-
発行日: 2022年
公開日: 2024/10/08
ジャーナル フリーDeep learning has replaced conventional machine learning due to its superior performance when exposed to an enormous amount of data. Researchers in many disciplines are drawn to deep learning, including physics, medicine, humanities, etc. Since we expect that readers would like to apply this popular technique in their projects on laser technologies, this paper introduces the fundamentals of deep learning with some mathematics. We also provide the first step in coding a neural network in PyTorch Lightning over Python, which comes with ready-to-go code on Google Colab, allowing novices to immediately get started.抄録全体を表示PDF形式でダウンロード (990K)
- |<
- <
- 1
- >
- >|