FuSe: Ultra-Low-Energy Logic-in-Memory Computing using Multiferroic Spintronics

FuSe：使用多铁自旋电子学的超低能耗内存逻辑计算

• 批准号: 2329111
• 负责人: Kaiyuan Yang
• 金额: $ 192.5万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2329111&HistoricalAwards=false
• 关键词: FuSe; Ultra; Low; Energy; Logic

Non-technical DescriptionThe energy consumption of computing is a significant global challenge, as the demand for computing explodes. If current trends persist, computing will soon become the dominant energy consumer. Limits to energy production and storage will limit availability of critical applications and hinder development of new technologies. Spintronics, which uses an electron’s spin as well as its charge, offer a new paradigm for computing that can meet this challenge. This FuSe project aims to enable a new generation of energy-efficient computing devices by integrating materials research, device physics and ultimately circuit design and architectures. These devices will be based on materials with electric and magnetic properties that can be controlled by external fields, called multiferroics. The team is committed to educating the next generation semiconductor workforce. A diverse group of graduate and undergraduate students will be trained in interdisciplinary research, with a focus on those from underrepresented groups in STEM. The PIs will also develop educational materials and participate in K-12 outreach events to inspire a broad audience.Technical DescriptionThis project explores electrically driven and detected spin transport in a voltage-switchable multiferroic insulator as the foundation for ultra-low-energy logic-in-memory computing. By exploiting the correlation and non-volatility in multiferroic materials, the team aims to greatly reduce the operating voltage of computers substantially below what is achievable by today's complementary metal oxide semiconductor (CMOS) technology and enable transformative logic-in-memory computing architectures with significantly alleviated communication costs between memory and logic. The project seeks to obtain fundamental understanding and transformative innovations by probing multiferroic materials and devices at unprecedented dimension, time, and energy scales. The team aims to address engineering challenges by integrating bottom-up research on materials synthesis, fabrication, and junction physics, and top-down from systems and circuit requirements. The project involves significant efforts to develop advanced characterization techniques including optical spectroscopy, electron microscopy, and magnetotransport for multiferroic materials and heterostructures. In addition, the project develops a circuit simulation framework and reference circuit designs, to realistically evaluate multiferroic spintronics at the system level and facilitate top-down research.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.

非技术描述随着计算的需求爆炸，计算的能源消耗是一个重大的全球挑战。如果当前趋势持续存在，那么计算将很快成为主要的能源消费者。能源生产和存储的限制将限制关键应用的可用性，并阻碍新技术的开发。使用电子旋转及其充电的SpinTronics为计算机提供了一种新的范式，可以满足这一挑战。该保险丝项目旨在通过整合材料研究，设备物理以及最终的电路设计和体系结构来实现新一代节能计算设备。这些设备将基于具有电气和磁性特性的材料，这些材料可以由外部磁场控制，称为多曲子。该团队致力于教育下一代半导体劳动力。跨学科研究的毕业生和本科生的潜水员小组将接受培训，重点是STEM中代表性不足的人群。 PIS还将开发教育材料并参加K-12外展活动，以激发广泛的受众群体。技术描述该项目在可电压转换的多效性绝缘子中探索电动驱动和检测到的旋转运输，作为超低能量逻辑计算的超低能量逻辑计算的基础。通过利用多效材料中的相关性和非挥发性，该团队的目的是大大降低计算机的运行电压，基本上低于当今完整的金属氧化物半导体（CMOS）技术所实现的速度，并启用具有变革性的逻辑计算体系结构，并在内存和logic之间显着缓解了通信成本。该项目旨在通过在前所未有的维度，时间和能量量表上探测多种材料和设备来获得基本的理解和变革性创新。该团队旨在通过整合有关材料合成，制造和结物理学的自下而上的研究以及从系统和电路要求的自上而下的研究来应对工程挑战。该项目涉及开发高级表征技术，包括光谱，电子显微镜和用于多效材料和异质结构的磁转运。此外，该项目还开发了电路模拟框架和参考电路设计，以实际评估系统级别的多性旋转三位型，并促进自上而下的研究。这项奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来通过评估来获得的支持。