SHF: Small: Collaborative Research: Modeling, Simulation, and Design for Performance and Reliability in Carbon-based Electronics

碳基纳米材料，如碳纳米管（CNTs），以及最近的石墨烯层和石墨烯纳米带（gnr），作为未来纳米电子学应用的替代器件技术，已经引起了人们的强烈兴趣。这个合作研究项目将有可能带来变革性的进步，将这些纳米材料的早期科学应用到实际的设计技术中。具体来说，pi将开发一个多尺度模拟框架，将量子模拟与CNT和GNR场效应晶体管（cntfet和gnrfet）的紧凑模型开发集成在一起。他们将开发双极逻辑电路和超陡亚阈值逻辑电路，作为两种有前途的候选解决方案，应用于cntfet和gnrfet。pi将识别、建模和探索这些器件中不同的可变性和缺陷机制的影响，为系统地理解和预测它们对实际碳基电路的性能和可靠性的影响提供便利的手段。研究结果将通过一个综合试验台进行传播，用于超硅计算的研究和教育，重点是碳基电子学。通过与广泛的学术研究人员以及政府和行业附属机构的合作，这种合作努力将加强设备和CAD社区之间的联系，帮助建立它们之间的联系，并加速向碳基电子产品大规模集成所必需的关键设计参数的融合。此外，学习模块的开发、跨学科课程和推广工作，如设计自动化暑期学校，将把架构、设计工具和方法——以及制造和基础物理学——带入主流学术课程，这些很可能定义第一代纳米计算系统。

Carbon-based nano-materials such as carbon nanotubes (CNTs) and, more recently, graphene layers and graphene nanoribbons (GNRs), have attracted strong interest as alternative device technologies for future nanoelectronics applications. This collaborative research project will potentially result in transformative advances required to harness the early science of these nano-materials into practical design technologies.Specifically, PIs will develop a multi-scale simulation framework that integrates quantum simulations with compact model development for CNT and GNR field-effect transistors (CNTFETs and GNRFETs). They will develop ambipolar logic circuits and ultra-steep sub-threshold logic circuits as two promising candidate solutions with applications to both CNTFETs and GNRFETs. PIs will identify, model, and explore the effect of different variability and defect mechanisms in these devices to provide expedient means to systematically understand and predict their effects on the performance and reliability of practical carbon-based circuits.Results will be disseminated through an integrated testbed for research and education in beyond-silicon computing, with an emphasis on carbon-based electronics. Through collaborations with a broad range of academic investigators as well as government and industry affiliates, this collaborative effort will strengthen ties between the device and CAD communities, help create links among them, and accelerate convergence to key design parameters essential for large scale integration of carbon-based electronics. Additionally, the development of learning modules, inter-disciplinary courses, and outreach efforts such as the Design Automation Summer School will bring the architectures, design tools and methodologies -- alongside fabrication and basic physics -- that will most likely define the first generation of nano-computing systems into the mainstream academic curriculum.