five

Dataset supporting the publication "Visualizing laser ablation using plasma imaging and deep learning ".

收藏
DataCite Commons2023-07-12 更新2025-04-17 收录
下载链接:
https://eprints.soton.ac.uk/478830/
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is supporting the publication "Visualizing laser ablation using plasma imaging and deep learning " published in Optics Continuum. https://doi.org/10.1364/OPTCON.495923 The data is supporting the figures from the article: Figure_1.png Simplified diagram of the experimental setup used for recording surface images and plasma images before, during and after single pulse laser ablation. The plasma was imaged perpendicular to laser axis. The images in the figure are experimental data. Figure_2.png Concepts of (a) the first experiment where a random pulse energy ablated the surface then a sensing pulse was incident onto the surface to produce plasma and (b) the second experiment where random pulse positions ablated a surface then a sensing pulse was incident on the surface to produce plasma. All images in the figure are schematics. Figure_3.png (a) The capability of the neural network to predict pulse energy directly from plasma images and (b) activation maps at the dropout layer when feeding a 0.3 mJ pulse through different channels. Figure_3.txt Data for Figure_3(a). Actual pulse 1 energy and Predicted pulse 1 energy. Figure_4.png The capability of the neural network to generate images of the surface resulting from a pulse with a randomly chosen pulse energy, directly from an image of the plasma produced when a subsequent pulse was incident on the sample. Figure_5.png Images of the first channel of each numbered layer as the result of feeding an input image (layer 1) into each numbered layer. The figure shows the transition from a plasma image to the generated surface image. Figure_6.png The process for masking the experimentally recorded surface images, showing the position of the 1 mJ pulse (red dashed circle) and the masked region (blue dashed circle). Figure_7.png The capability for visualization of a randomly ablated sample directly from the image of the plasma created from a subsequent pulse with energy of 1 mJ. Figure_8.png Images of plasma emission (top row) and associated images of the ablated surfaces (bottom row) for (a) air, (b) cyanoacrylate and (c) carbon tape. Licence: CC-BY Related projects: EPSRC grant EP/P027644/1 EPSRC grant EP/T026197/1 EPSRC grant EP/W028786/1
提供机构:
University of Southampton
创建时间:
2023-07-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作