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

基于碳的纳米材料，例如碳纳米管（CNT），以及最近的石墨烯层和石墨烯纳米带（GNR），作为未来纳米电子应用的替代器件技术已经引起了强烈的兴趣。这项合作研究项目将有可能带来变革性的进展，将这些纳米材料的早期科学应用于实际设计技术。具体而言，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（CNTFFET和GNRFFET）的紧凑模型开发相结合。 他们将开发双极性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，并应用于CNTF和GNRF。 PI将识别、模拟和探索这些器件中不同的可变性和缺陷机制的影响，以提供系统地了解和预测其对实际碳基电路性能和可靠性影响的有利手段。结果将通过一个集成测试平台传播，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分支机构的合作，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，并加速融合到碳基电子产品大规模集成所必需的关键设计参数。此外，开发学习模块，跨学科课程和推广工作，如设计自动化暑期学校将带来架构，设计工具和方法-以及制造和基础物理-这将最有可能定义第一代纳米计算系统进入主流学术课程。

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.