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IRES Track I: U.S.-Japan International Research Experience for Students on Superconducting Electronics

IRES Track I: U.S.-Japan International Research Experience for Students on Superconducting Electronics
IRES Track I:美国-日本超导电子学学生国际研究经验
批准号:
1854213
负责人:
Yanzhi Wang
金额:
$29.93万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-03-15 至 2025-02-28

项目摘要

项目成果

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中文摘要
翻译
IRES项目的目标是在日本横滨国立大学(YNU)为美国学生提供超导电子和电路方面的国际研究经验,作为未来的计算范例,YNU拥有世界上最强大的超导电子和电路研究中心之一。该项目将每年在全国范围内挑选五(5)名研究生和两(2)名本科生,并支持他们在八(8)周的时间内访问扬州师范大学。该项目将使美国学生能够与他们在耶鲁师范大学的教师导师合作,对下一代超导电子学进行高质量的研究。这样的经历让美国学生在职业生涯的关键早期阶段接触到了国际研究界。通过参加这个项目,美国学生将在超导电子学的研究、日本文化以及在国际环境中的表演和合作方面获得广泛的经验。还将通过个人社交媒体、基于Web 2.0的论坛、精心整合的活动,如针对本科生、少数族裔和代表性不足群体的研究,以及针对当地学校的外联活动,向更广泛的社区分享经验。这将有利于美国STEM和代表不足的学生教育以及超导和半导体工业的发展。约瑟夫森结超导逻辑族以低能耗和超快的开关速度而闻名,人们提出并实现了基于约瑟夫森结的超导逻辑族来处理模拟和数字信号。由于其在运行速度和能效方面的优越潜力,它被认为是取代最先进的CMOS的重要候选者。该项目包括计划周密的招聘、准备、指导和旅行后活动。这项研究旨在解决电路设计、电子设计自动化和超导电子学应用中亟待解决的基本问题。第一个项目涉及将AQFP技术与深度学习系统的有效实施相结合,后者是硬件和人工智能领域的核心研究课题。第二个项目是AQFP和RSFQ超导电路的高效设计,将极大地提高性能、效率和可靠性。第三个项目旨在开发超导电子学的设计自动化工具流,这是目前所缺乏的,将大大减少超导电路的开发时间。预计随着与YNU的密切互动,这些项目取得的突破将对未来超导电子发展和超级计算系统以及美国相应领域的技术产生重大影响。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The objective of this IRES project is to provide U.S. students with international research experience in superconducting electronics and circuits as future computing paradigms in Yokohama National University (YNU), Japan, which has one of the world's strongest research center in superconducting electronics and circuits. The project will select five (5) graduate students and two (2) undergraduate students nation-wide each year and support them to visit YNU over a period of eight (8) weeks. The project will enable U.S. students to conduct high-quality research on next-generation superconducting electronics, in collaboration with their faculty mentors in YNU. Such experiences expose U.S. students to the international research community at a critical early stage in their careers. Through participating in this program, U.S. students will gain extensive experience on the research of superconducting electronics, on the culture in Japan, and on performing and collaborating in an international environment in general. The experience will also be shared to the broader community through the personal social media, Web 2.0 based forum, carefully integrated activities such as research for undergraduate students, minorities and underrepresented groups, as well as outreach events for local schools. It will be beneficial for the STEM and underrepresented student education as well as the advancing of superconducting and semiconductor industry in U.S.Being widely-known for low energy dissipation and ultra-fast switching speed, Josephson Junction-based superconductor logic families have been proposed and implemented to process analog and digital signals. It has been perceived to be important candidate to replace state-of-the-art CMOS due to the superior potential in operation speed and energy efficiency. The project contains well-planned recruitment, preparation, mentoring and post-trip activities. The proposed research address fundamental problems in the circuit design, electronic design automation, and applications in superconducting electronics that need to be addressed urgently. The first project deals with the integration of AQFP technology with the efficient implementation of deep learning systems, where the latter is a core research topic in hardware and AI. The second project deals with efficient design of AQFP and RSFQ superconducting circuits and will greatly enhance the performance, efficiency and reliability. The third project aims to develop a design automation toolflow of superconducting electronics, which is currently lacking and will significantly reduce the development time of superconducting circuits. It is anticipated that with the close interaction with YNU, the breakthroughs made from these projects can have a significant impact on future superconducting electronics development and supercomputing systems, as well as the technology in the U.S. in corresponding areas.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Towards AQFP-Capable Physical Design Automation
迈向支持 AQFP 的物理设计自动化
DOI: --
发表时间: 2021
期刊: and Test in Europe (DATE
影响因子: --
作者: [Hongjia Li, Mengshu Sun]
通讯作者: Hongjia Li, Mengshu Sun
TAAS: a timing-aware analytical strategy for AQFP-capable placement automation
TAAS:用于支持 AQFP 的贴装自动化的时序感知分析策略
DOI: 10.1145/3489517.3530487
发表时间: 2022
期刊: Design Automation Conference (DAC
影响因子: --
作者: [Dong, Peiyan, Xie, Yanyue, Li, Hongjia, Sun, Mengshu, Chen, Olivia, Yoshikawa, Nobuyuki, Wang, Yanzhi]
通讯作者: Wang, Yanzhi
Collaborative Research: CSR: Small: Expediting Continual Online Learning on Edge Platforms through Software-Hardware Co-designs
  • 批准号:
    2312158
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2023
  • 负责人:
    Yanzhi Wang
  • 依托单位:
FET: SHF: Small: Collaborative: Advanced Circuits, Architectures and Design Automation Technologies for Energy-efficient Single Flux Quantum Logic
  • 批准号:
    2008514
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2020
  • 负责人:
    Yanzhi Wang
  • 依托单位:
SPX: Collaborative Research: FASTLEAP: FPGA based compact Deep Learning Platform
  • 批准号:
    1919117
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.0万
  • 财政年份:
    2019
  • 负责人:
    Yanzhi Wang
  • 依托单位:
CNS Core: Small: Collaborative: Content-Based Viewport Prediction Framework for Live Virtual Reality Streaming
  • 批准号:
    1909172
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.12万
  • 财政年份:
    2019
  • 负责人:
    Yanzhi Wang
  • 依托单位:
海外基金