【摘 要】
:
Power electronics,processing over 50%of world's electric energy,enables very efficient electric energy conversion for a wide range of applications such as electr
【机 构】
:
Center for Power Electronics Systems,Virginia Polytechnic and State University,Blacksburg VA 24060,U
【出 处】
:
中国科学:物理学 力学 天文学(英文版)
论文部分内容阅读
Power electronics,processing over 50%of world's electric energy,enables very efficient electric energy conversion for a wide range of applications such as electric vehicles,data centers,autonomous driving,robotics and smart grids.The availability of low-cost,efficient,and reliable power semi-conductor devices that can conduct high current,block high voltage,and switch at high frequencies are key to improving the performance of power electronics systems.
其他文献
Realization of robust quantum computing is a tremendous task.On one hand,one must reduce errors as many as pos-sible using various means[1-3];on the other hand,
近年来,北京汽车股份有限公司汽车研究院结合自主研发高端人才培养需求的实际,在研发人才培养工作方面不断创新,探索并形成了具有汽车研发特色的“匠研·隧穿”研发人才培养
We present neural compositing,a deep-learning based method for augmented reality rendering,which uses convolutional neural networks to composite rendered layers
2020年10月民政部召开加强乡镇(街道)社会工作人才队伍建设推进会,作出“十四五”期间实现乡镇(街道)社工站全覆盖的工作部署,中共中央办公厅、国务院办公厅印发《关于加快推
In software development,it is easy to introduce code smells owing to the complexity of projects and the negligence of programmers.Code smells reduce code compre
Ultra-reliable and low-latency communication(URLLC)is one of the most important scenarios in forthcoming fifth generation(5G)cellular networks to ensure timely
Device-to-device(D2D)communications allow direct connections among devices to lower trans-mission latency and network loads of the existing cellular mobile netw
服务治理是新发展态势下中国特色社会工作建设的重要命题。它疏解服务对象困境,进行人力资本投资,输人正面积极能量,协助人境动态平衡,践行人文关怀协助,因此成为党和政府进行国家治理、人民群众走向美好生活的有效载体。与域外社会工作相类,社会工作中国行动可以从“助人自助”和“促境美好”两个角度展开。
The three-body problem can be traced back to Newton in 1687,but it is still an open question today.Note that only a few periodic orbits of three-body systems we
A general framework to tackle the problem of few-shot learning is meta-learning, which aims to train a well-generalized meta-learner(or backbone network) to learn a base-learner for each future task w