.png){kind=icon}
返回
Modelling burning thermonuclear plasma
.png){kind=icon}
OA
AI
DOI：10.1098/rsta.2020.0014.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Considerable progress towards the achievement of thermonuclear burn using inertial confinement fusion has been achieved at the National Ignition Facility in the USA in the last few years. Other drivers, such as the Z-machine at Sandia, are also making progress towards this goal. A burning thermonuclear plasma would provide a unique and extreme plasma environment; in this paper we discuss (a) different theoretical challenges involved in modelling burning plasmas not currently considered, (b) the use of novel machine learning-based methods that might help large facilities reach ignition, and (c) the connections that a burning plasma might have to fundamental physics, including quantum electrodynamics studies, and the replication and exploration of conditions that last occurred in the first few minutes after the Big Bang. This article is part of a discussion meeting issue 'Prospects for high gain inertial fusion energy (part 1)'.
Keyword:
fusion
plasma
machine learning
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
P
IF:
3.7
论文数:
7.8K
被引数:
2.8W
机构
引用论文
Xeriscaping as coastal amelioration: using 'Florida Friendly landscaping' to reduce pollutant runoff and water consumption in Pinellas County, Florida旱生景观作为海岸改良：利用“佛罗里达友好型景观”减少佛罗里达州皮尼拉斯县的污染物径流和用水量
PREAI
分享收藏Simplifying a wing: diversity and functional consequences of digital joint reduction in bat wingsOAAI
OAAI分享收藏Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data.png)
Nature
NatureIF0
PREAI
分享收藏Linguistic summaries of sales data at a computer retailer via fuzzy logic and a genetic algorithm
PREAI
分享收藏
查看更多内容