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
基本信息
- 批准号:1854213
- 负责人:
- 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
- 起止时间:2019-03-15 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
该IRES项目的目的是为美国学生在日本横滨国立大学(YNU)的未来计算机范式中为美国学生提供超导性电子和电路的国际研究经验。该项目将在全国范围内选择五(5)名研究生和两(2)名本科生,并支持他们在八(8)周期间访问YNU。该项目将使美国的学生能够与他们在YNU的教师导师合作就下一代超导电子产品进行高质量的研究。这种经验使美国的学生在职业生涯的重要早期阶段暴露于国际研究界。通过参加该计划,美国学生将在超导电子,日本文化以及在国际环境中进行和合作的研究方面获得丰富的经验。这一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,例如针对本科生,少数群体和代表性不足的群体以及当地学校的宣传活动等精心整合的活动,将经验分享给更广泛的社区。这将是有益于茎和代表性不足的学生教育,以及在美国广为人知的高能量耗散和超快速切换速度的超导和半导体行业的推进,已提出并实施了基于Josephson的超导管逻辑系列,以处理模拟和数字信号。由于运行速度和能源效率的较高潜力,它被认为是替代最先进的CMO的重要候选人。该项目包含精心计划的招聘,准备,指导和旅行后活动。拟议的研究解决了电路设计,电子设计自动化以及需要紧急解决的超导电子产品中的基本问题。第一个项目涉及AQFP技术与深度学习系统的有效实施的集成,后者是硬件和AI中的核心研究主题。第二个项目涉及AQFP和RSFQ超导电路的有效设计,并将大大提高性能,效率和可靠性。第三个项目旨在开发超导电子产品的设计自动化工具流,该工具目前缺乏,并将大大减少超导电路的开发时间。可以预见,随着与YNU的密切相互作用,这些项目的突破可能会对未来的超导性电子开发和超级计算系统以及美国在相应领域中的技术产生重大影响。该奖项反映了NSF的法规任务,并认为通过基金会的知识优点和广泛的criter scritia criter scritia criter criter criter criter criter criter criter criteria criter criter criter criter criter criter criter criter criter criter criteria criter criter criter criteria均值得一提。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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:
- 影响因子:0
- 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:
- 影响因子:0
- 作者:Dong, Peiyan;Xie, Yanyue;Li, Hongjia;Sun, Mengshu;Chen, Olivia;Yoshikawa, Nobuyuki;Wang, Yanzhi
- 通讯作者:Wang, Yanzhi
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Yanzhi Wang其他文献
Meaningful Use of Inhaled Nitric Oxide (iNO): a Cross-Sectional National Survey
吸入一氧化氮 (iNO) 的有意义使用:全国横断面调查
- DOI:
10.1007/s42399-021-00818-2 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Mina Hafzalah;Yanzhi Wang;S. Tripathi - 通讯作者:
S. Tripathi
Proteolysis Targeting Chimeras (PROTACs) Based on Imatinib Induced Degradation of BCR‐ABL in K562 Cells
基于伊马替尼诱导 K562 细胞中 BCR-ABL 降解的蛋白水解靶向嵌合体 (PROTAC)
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:2.1
- 作者:
Chuang Li;P. Zhang;Gaojie Chang;Mingyue Pan;Feng Lu;Jiahao Huang;Yanzhi Wang;Qingyan Zhao;Bingxia Sun;Yuting Cui;Feng Sang - 通讯作者:
Feng Sang
Progress of Solid‐state Electrolytes Used in Organic Secondary Batteries
有机二次电池固态电解质研究进展
- DOI:
10.1002/celc.202101005 - 发表时间:
2021-10 - 期刊:
- 影响因子:4
- 作者:
Shaolong Wang;Jing Lv;Xuehan Wang;Haixia Cui;Weiwei Huang;Yanzhi Wang - 通讯作者:
Yanzhi Wang
A Yolk-Shell Structured Metal-Organic Framework with Encapsulated Iron-Porphyrin and Its Derived Bimetallic Nitrogen-Doped Porous Carbon for An Efficient Oxygen Reduction Reaction
具有包封铁卟啉的蛋黄壳结构金属有机框架及其衍生的双金属氮掺杂多孔碳,用于有效的氧还原反应
- DOI:
10.1039/d0ta00962h - 发表时间:
2020 - 期刊:
- 影响因子:11.9
- 作者:
Chaochao Zhang;Hao Yang;Dan Zhong;Yang Xu;Yanzhi Wang;Qi Yuan;Zuozhong Liang;Bin Wang;Wei Zhang;Haoquan Zheng;Tao Cheng;Rui Cao - 通讯作者:
Rui Cao
The Optimal Machine Life in Tesla
Tesla 的最佳机器寿命
- DOI:
10.2991/aebmr.k.220307.144 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Zeyun Lu;Jilin Lyu;Zhengyang Wan;Yanzhi Wang - 通讯作者:
Yanzhi Wang
Yanzhi Wang的其他文献
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{{ truncateString('Yanzhi Wang', 18)}}的其他基金
Collaborative Research: CSR: Small: Expediting Continual Online Learning on Edge Platforms through Software-Hardware Co-designs
协作研究:企业社会责任:小型:通过软硬件协同设计加快边缘平台上的持续在线学习
- 批准号:
2312158 - 财政年份:2023
- 资助金额:
$ 29.93万 - 项目类别:
Standard Grant
FET: SHF: Small: Collaborative: Advanced Circuits, Architectures and Design Automation Technologies for Energy-efficient Single Flux Quantum Logic
FET:SHF:小型:协作:用于节能单通量量子逻辑的先进电路、架构和设计自动化技术
- 批准号:
2008514 - 财政年份:2020
- 资助金额:
$ 29.93万 - 项目类别:
Standard Grant
SPX: Collaborative Research: FASTLEAP: FPGA based compact Deep Learning Platform
SPX:协作研究:FASTLEAP:基于 FPGA 的紧凑型深度学习平台
- 批准号:
1919117 - 财政年份:2019
- 资助金额:
$ 29.93万 - 项目类别:
Standard Grant
CNS Core: Small: Collaborative: Content-Based Viewport Prediction Framework for Live Virtual Reality Streaming
CNS 核心:小型:协作:用于直播虚拟现实流的基于内容的视口预测框架
- 批准号:
1909172 - 财政年份:2019
- 资助金额:
$ 29.93万 - 项目类别:
Standard Grant
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