RII Track-4: Understanding Phase-Change Nanodevices for Cognitive-inspired Computing Applications.

RII Track-4：了解用于认知启发计算应用的相变纳米器件。

• 批准号: 2033328
• 负责人: Armando Rua
• 金额: $ 16.43万
• 依托单位: University of Puerto Rico Mayaguez
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033328&HistoricalAwards=false
• 关键词: RII; Track; Understanding; Phase; Change

The future development of computers will likely depend on a qualitative change, with new technologies based on materials and mechanisms very different from those currently employed. One of the most promising alternatives centers on development of ultra-low-power cognitive computing systems inspired by the operating principles of the brain and employing new types of bio-inspired devices with functionalities which correspond to those of neurons, synapses, axons, and dendrites. This research project aims to enhance our understanding of fundamental processes of the electrically-induced switching mechanism in vanadium oxides and related materials. This knowledge will help to address the needs of high-density data storage, adaptive neural circuits, and energy-efficient neuromorphic computing. In addition, this project will allow the PI and a graduate student to be trained at the Brookhaven National Laboratory in the use of state-of-the-art instrumentation to apply techniques crucial to the central aspect of the research. Collaboration will ensure longer-term impacts and facilitate future access either through direct collaborations or through support from future research projects for use of the facilities by the PI. Participation by UPRM students in related sub-projects will be a unique educational opportunity for them directly, which will prepare them to address the challenges of electronic materials in the 21st century. This project pursues experiments to study correlated Magnéli vanadium oxides in purpose-built nanostructures with the goal of furthering our understanding of dynamics of the electrically-induced switching of Phase Change Materials exhibiting Metal Insulator Transition and how it depends on physical and chemical parameters such as composition, stress, thickness, grain size and orientation, and local morphology. A range of appropriate characterization techniques will be employed in order to study the properties of interest here. Beyond standard ones, state-of-the-art techniques will be applied, including in-operando photoelectron spectroscopy, high-resolution scanning, and transmission electron microscopy. Elucidation of the influence of parameters mentioned above on the switching mechanism and on electroformed conductive filament formation are required to assess their relative importance and to develop fabrication protocols enabling reproducible electronic characteristics in prospective devices for neuromorphic computing.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.

计算机的未来发展可能取决于质的变化，新技术的材料和机制与目前使用的技术大不相同。最有前途的替代方案之一是开发超低功耗认知计算系统，该系统受到大脑操作原理的启发，并采用新型生物启发设备，其功能与神经元、突触、轴突和神经元的功能相对应。树枝状突起。本研究计划旨在增进我们对钒氧化物及相关材料中电致开关机制的基本过程的理解。这些知识将有助于解决高密度数据存储，自适应神经电路和节能神经形态计算的需求。此外，该项目将允许PI和一名研究生在布鲁克海文国家实验室接受使用最先进仪器的培训，以应用对研究的中心方面至关重要的技术。合作将确保长期影响，并通过直接合作或通过未来研究项目的支持促进未来的访问，以供主要研究者使用设施。UPRM学生参与相关的次级项目将直接为他们提供一个独特的教育机会，这将使他们能够应对21世纪世纪电子材料的挑战。该项目进行实验，以研究专用纳米结构中相关的Magnéli钒氧化物，目的是进一步了解表现出金属绝缘体转变的相变材料的电诱导开关的动力学，以及它如何取决于物理和化学参数，如成分，应力，厚度，晶粒尺寸和方向，以及局部形态。将采用一系列适当的表征技术，以研究此处感兴趣的特性。除了标准的，国家的最先进的技术将被应用，包括在operando光电子能谱，高分辨率扫描，透射电子显微镜。需要阐明上述参数对开关机制和电铸导电丝形成的影响，以评估它们的相对重要性，并开发制造协议，使神经形态计算的预期设备具有可再现的电子特性。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响进行评估来支持审查标准。