STTR Phase I: Development and Analysis of Functional NanoInks for Printed Neuromorphic Electronics and Smart Sensors

飞思卡尔有限责任公司的这个小型企业技术转移(STTR)第一阶段项目的更广泛影响将是模拟电子、人工智能(AI)和传感应用的微观和宏观规模的可扩展加法制造。该项目将利用电动流体动力和微转移印刷方面的最新进展，以及人工智能控制的制造，生产亚微米分辨率的微型和宏观电子设备。由此产生的设备将具有计算和感知能力，类似于生物大脑。该项目将加强国内微电子创新和生产能力，并支持美国在人工智能和量子计算领域的领先地位。使用这些技术开发的新智能系统可以帮助应对医疗保健、航空航天、国防、交通、能源等领域的挑战。这个小型企业技术转移(STTR)第一阶段项目旨在展示使用创新的多功能打印平台制造全打印功能设备的下一代电子产品。该平台将提供具有导电和半导体特性的特种油墨的开发、优化和交付，这些油墨将印刷在刚性和柔性表面上，以产生模拟计算和传感功能。该平台将支持微观和宏观尺度的打印，利用实时反馈和人工智能(AI)控制进行智能成分修改、交付参数优化和可扩展制造。目前，传统的功能器件光刻制造成本高、效率低，因为它需要复杂的供应链、昂贵的硬件和离岸生产。该STTR项目将结合用于薄层沉积的精密喷墨打印和用于大面积开发的微转移打印，使用于传感和模拟计算的功能器件能够在几天而不是几个月内无缝制造，绕过现代硅制造的复杂性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact of this Small Business Technology Transfer (STTR) Phase I project from Freescale LLC will be on scalable additive manufacturing of micro and macro scales for analog electronics, artificial intelligence (AI), and sensing applications. The project will leverage recent advancements in electrohydrodynamic and micro-transfer printing, alongside AI-controlled manufacturing, to produce micro and macro-scale electronic devices with a submicron resolution. The resulting devices will have the capability of computing and sensing, similar to biological brains. The project will strengthen domestic microelectronics innovation and production capabilities and support US leadership in AI and quantum computing. New intelligent systems developed using these techniques can help address challenges in healthcare, aerospace, defense, transportation, energy, and more.This Small Business Technology Transfer (STTR) Phase I project aims to demonstrate the manufacturing offully printed functional devices using an innovative multifunctional printing platform for next-generation electronics. The platform will provide development, optimization, and delivery of specialty inks withconductive and semiconductive properties that will be printed on rigid and flexible surfaces to produce analog computing and sensing functionality. The platform will support printing at micro and macro scales, leveraging real-time feedback and artificial intelligence (AI) control for intelligent composition modification, delivery parameter optimization, and scalable manufacturing. Currently, conventional lithographic fabrication of functional devices is expensive and inefficient, as it requires complex supply chains, expensive hardware, and offshore production. This STTR project will combine precise inkjet printing for thin layer deposition and micro-transfer printing for large-area development to enable seamless fabrication of functional devices for sensing and analog computation in days instead of months, bypassing the complexities of modern silicon manufacturing.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.