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

在亚细胞尺度上操纵信息激发了理查德·费曼（Richard Feynman）想象生物学方法来简化计算架构。在他现在有先见之明的演讲《底部有足够的空间》中，这种可能性似乎是科幻小说。今天，我们可以探索将生物学与半导体材料相结合的可能性，以在原子尺度上操纵物质，从而实现新颖的计算架构。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相结合的团队来做到这一点。这种方法可能会导致对未来半导体技术极限的新的基本理解。这项合作基金汇集了来自美国太平洋西北部和大西洋中部地区的专业知识，以开发一个集成的理论-计算-实验协同设计框架，该框架可以发现新的物理现象，从而降低整个计算频谱的能耗。加速部署功能性高性能材料和节能器件结构，这将彻底改变非冯·诺依曼技术。这个团队形成补助金的目标是培养一个广泛的研究人员联盟，能够通过结合实验和计算的协同设计方法推进半导体制造的未来。我们的目标是建立一个新的半导体制造范式，将计算科学和实验融合在DNA纳米技术和二维（2D）材料的关系中，以开发新型节能的神经计算设备，从而有助于减少全球计算相关的能源需求。具体来说，我们将设计DNA纳米结构模板，用于原子级精确的图案化和2D材料的掺杂，以创建2D突触及其神经形态电路。与我们的工业咨询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工艺和新兴的2D材料来设计和开发下一代计算范例。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.