北京清华大学高精尖研究中心
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Case Research Achievements
说明: Recently, the Center’s research group headed by Prof. Wang Yayu published the latest research results entitled “Visualizing the evolution from the Mott insulator to a charge ordered insulator in lightly doped cuprates” in the magazine Nature Physics. The research team led by Prof. Wang Yayu developed scanning tunneling microscope (STM) capable of measuring insulating oxides. It is used to make experimental study of Bi2Sr2-xLaxCuO6+d copper oxide system extremely lacking adulteration. It systemically reveals the evolution trend of the electronic structure depending on the density of adulteration. This study provides a new valuable clue to understand the evolution of the electronic structure of copper oxide superconductors, the formation mechanism of charge ordered state and its relationship...
说明: Recently, the Center’s research team headed by Prof. Liu Yongpan and Prof. Yang Huazhong has completed the development of a non-volatile processor chip based on resistive memory device. By introducing the vertically stacked nvSRAM architecture and automatic write termination circuit technology, it increases the running speed 6 times, and its wake-up speed reaches 20ns – the highest indicators in the world’s research reports. The result was published at the 2016 International Solid-State Circuits Conference (ISSCC). ISSCC, the world’s largest and highest-level international conference on solid-state circuit, is known as the “Integrated Circuit Olympiad”. This paper is the only one from a university in mainland China this year.
说明: In July 2016, the research paper entitled “NEUTRAMS: Neural Network Transformation and Co-design under Neuromorphic Hardware Constraints” by Professors Zhang Youhui and Chen Wenguang of the Brain-like Computing Center was adopted at the 49th International Symposium on Microarchitecture (MICRO 2016), the top conference in the computer system field. This work is completed in concert with Xie Yuan, professor of UCSB. In respect of the brain-like chip programming, it applies the decoupling design concept of hardware and software in traditional computer system to the brain-like computing system, and presents and realizes corresponding neural network application description, compilation and mapping tool. This study points the way to simplifying the application and development of brain-like chips...
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