FuSe-TG: A Co-Design Model for Advanced Manufacturing and Workforce Development to Enhance Future Semiconductor Technologies

FuSe-TG：先进制造和劳动力发展的协同设计模型，以增强未来的半导体技术

• 批准号: 2235294
• 负责人: David Estrada
• 金额: $ 40万
• 依托单位: Boise State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2235294&HistoricalAwards=false
• 关键词: FuSe; TG; Co; Design; Model

Manipulating information at the sub-cellular scale inspired Richard Feynman to imagine biological approaches to miniaturize computing architectures. At the time of his now prescient lecture, There’s Plenty of Room at the Bottom, this possibility seemed like science fiction. Today, technology exists where we can explore the possibility of integrating biology with semiconductor materials to manipulate matter at the atomic scale in order to enable novel computing architectures. This project aims to do exactly this by building a team capable of integrating DNA-nanotechnology with emerging 2-dimensional materials. This approach could lead to new fundamental understanding of the limits of future semiconductor technology. This teaming grant brings together expertise from the Pacific Northwest and Mid-Atlantic regions of the United States to develop an integrated theoretical-computational-experimental co-design framework which can enable the discovery of novel physical phenomena which will reduce energy consumption across the computing spectrum, accelerating the deployment of functional high-performance materials and energy-efficient device structures that will revolutionize non-von Neumann technologies.The goal of this team-forming grant is to cultivate a broad coalition of researcherscapable of advancing the future of semiconductor manufacturing through a co-designapproach combining experiments and computation. We aim to establish a newsemiconductor manufacturing paradigm which merges computational sciences andexperiments at the nexus of DNA nanotechnology and 2-dimensional (2D) materialsto develop novel energy-efficient neural computing devices which can help reduceglobal computing related energy demands. Specifically, we will design DNA nanostructure templates for atomically precise patterning and doping of 2D materials in order to create 2D synapses and their neuromorphic circuits. Close collaboration with our Industrial Advisory Board and community college partners will enable a skilled workforce capable of leveraging both synthetic biological processes and emerging 2D materials in the design and development of next generation computing paradigms.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.

在细胞尺度上操纵信息激发了理查德·菲曼（Richard Feynman）想象一下微型计算体系结构的生物学方法。在他现在有先见之明的演讲时，底部有足够的空间，这种可能性似乎是科幻小说。如今，我们可以探索将生物学与半导体材料整合以在原子量规模上操纵物质的可能性，以实现新颖的计算体系结构。该项目旨在通过建立一个能够将DNA纳米技术与新兴的二维材料集成的团队来实现这一目标。这种方法可能会导致对未来半导体技术限制的新基本理解。这项组合赠款将美国西北和中大西洋中部地区的专业知识汇集在一起​​，以开发一个综合的理论 ​​- 计算与实验性的共同设计框架，可以使新的物理现象发现新颖的能源消耗，从而减少整个计算频谱中的跨计算频谱，从而加速了功能性的高度革命材料的功能性革命性统计型技术，以加速其功能性革命性的材料。这项团队成立的赠款的目标是建立一个广泛的研究人员联盟，可通过结合实验和计算的共同设计，促进半导体制造的未来。我们旨在建立新闻学的制造范式，该范式在DNA纳米技术和二维（2D）材料的Nexus中融合了计算科学和实验，以开发新型的能源有效的神经计算设备，从而有助于减少与全球计算相关的能源需求。具体而言，我们将设计DNA纳米结构模板，用于原子上精确的图案和2D材料的掺杂，以创建2D突触及其神经形态电路。与我们的工业顾问委员会和社区学院合作伙伴的密切合作将使熟练的劳动力能够利用合成生物学过程和新出现的2D材料在下一代计算范式的设计和开发中，这反映了NSF的法规任务，并认为通过基金会的知识优点和广泛的critia criperia criperia cristia criperia the Insportauction the Pociess cripation。

项目成果

DNA-based doping and fabrication of PN diodes

• DOI: 10.3389/fnano.2024.1291328
• 发表时间: 2024-02
• 期刊: Frontiers in Nanotechnology
• 作者: Ruobing Bai;Yihan Liu;Bomin Zhang;Beishan Chen;Feng Xiong;Haitao Liu