Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Shenyuan Ren"'
Autor:
Shenyuan Ren, Yuanfeng Shi, Quincy Y. van den Berg, Muhammad F. Kasim, Hyun-Kyung Chung, Elisa V. Fernandez-Tello, Pedro Velarde, Justin S. Wark, Sam M. Vinko
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract The advent of x-ray free-electron lasers has enabled a range of new experimental investigations into the properties of matter driven to extreme conditions via intense x-ray-matter interactions. The femtosecond timescales of these interaction
Externí odkaz:
https://doaj.org/article/0e9725b017c940cb88e60b2beaa9e372
Autor:
Josef Krása, Tomáš Burian, Věra Hájková, Jaromír Chalupský, Šimon Jelínek, Kateřina Frantálová, Michal Krupka, Zuzana Kuglerová, Sushil Kumar Singh, Vojtěch Vozda, Luděk Vyšín, Michal Šmíd, Pablo Perez-Martin, Marion Kühlman, Juan Pintor, Jakub Cikhardt, Matthias Dreimann, Dennis Eckermann, Felix Rosenthal, Sam M. Vinko, Alessandro Forte, Thomas Gawne, Thomas Campbell, Shenyuan Ren, YuanFeng Shi, Trevor Hutchinson, Oliver Humphries, Thomas Preston, Mikako Makita, Motoaki Nakatsutsumi, Xiayun Pan, Alexander Köhler, Marion Harmand, Sven Toleikis, Katerina Falk, Libor Juha
Publikováno v:
Matter and Radiation at Extremes, Vol 9, Iss 1, Pp 016602-016602-14 (2024)
We report on an experiment performed at the FLASH2 free-electron laser (FEL) aimed at producing warm dense matter via soft x-ray isochoric heating. In the experiment, we focus on study of the ions emitted during the soft x-ray ablation process using
Externí odkaz:
https://doaj.org/article/e22751757963401395f172acdd53d731
Autor:
Gabriel Pérez-Callejo, Sam M. Vinko, Shenyuan Ren, Ryan Royle, Oliver Humphries, Thomas R. Preston, Bruce A. Hammel, Hyun-Kyung Chung, Tomas Burian, Vojtěch Vozda, Ming-Fu Lin, Tim Brandt van Driel, Justin S. Wark
Publikováno v:
Applied Sciences, Vol 10, Iss 22, p 8153 (2020)
The generation of solid-density plasmas in a controlled manner using an X-ray free electron laser (XFEL) has opened up the possibility of diagnosing the atomic properties of hot, strongly coupled systems in novel ways. Previous work has concentrated
Externí odkaz:
https://doaj.org/article/db3f86d2840e4a04873a6b789d34111b
Autor:
Shenyuan Ren, Yidong Li
Publikováno v:
High-speed Railway.
Autor:
Shenyuan Ren, Yidong Li
Publikováno v:
High-speed Railway; Jun2023, Vol. 1 Issue 2, p92-96, 5p
Autor:
Shenyuan Ren, Yuanfeng Shi, Quincy Y. van den Berg, Muhammad F. Kasim, Hyun-Kyung Chung, Elisa V. Fernandez-Tello, Pedro Velarde, Justin S. Wark, Sam M. Vinko
The advent of x-ray free-electron lasers (XFELs) has enabled a range of new experimental investigations into the properties of matter driven to extreme conditions via intense x-ray-matter interactions. The femtosecond timescales of these interactions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::676353f4db657841715f1044d18252fb
http://arxiv.org/abs/2208.00573
http://arxiv.org/abs/2208.00573
Publikováno v:
Wireless Networks. 28:1313-1319
Big data analysis requires the speedup of parallel computing. However, in the virtualized systems, the power of parallel computing is not fully exploited due to the limit of current VMM schedulers. Xen, one of the most popular virtualization platform
Publikováno v:
Wireless Networks
In this paper, we investigate the influential factors that impact on the performance when the tasks are co-running on a multicore computers. Further, we propose the machine learning-based prediction framework to predict the performance of the co-runn
Autor:
Shenyuan Ren, G. Pérez-Callejo, Ming-Fu Lin, Oliver Humphries, Tim Brandt van Driel, Ryan Royle, Justin Wark, B. A. Hammel, Hyun-Kyung Chung, Tomáš Burian, T. R. Preston, V. Vozda, Sam Vinko
Publikováno v:
Applied Sciences, Vol 10, Iss 8153, p 8153 (2020)
Applied Sciences
Volume 10
Issue 22
Applied Sciences
Volume 10
Issue 22
The generation of solid-density plasmas in a controlled manner using an X-ray free electron laser (XFEL) has opened up the possibility of diagnosing the atomic properties of hot, strongly coupled systems in novel ways. Previous work has concentrated
Publikováno v:
ICPP
Training Deep Neural Network is a computation-intensive and time-consuming task. Asynchronous Stochastic Gradient Descent (ASGD) is an effective solution to accelerate the training process since it enables the network to be trained in a distributed f