Smart Devices Based on Soft Materials

基于软材料的智能设备

• 批准号: RGPIN-2018-06633
• 负责人: McGarry, Steven
• 金额: $ 2.04万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659257
• 关键词: Smart; Devices; Based; Soft; Materials

Conventional active electronic devices are based on crystalline semiconducting materials,*predominately silicon. Although the dominance of silicon continues with its limits being continually*expanded, other technologies on the horizon have significant promise for complementary functions*and applications unsuitable to silicon. Active “soft materials” such as conducting polymers,*organic/inorganic composites and biological materials have interesting properties that can be used to*provide unique functionality. These materials can also have the advantage of being compatible with*flexible substrates and simple printing techniques for the fabrication of devices. Using a combination*of soft materials, such as a conducting polymer, a gel electrolyte, and a suitable contact material,*electronic/ionic/photonic devices can be fabricated. These devices can be made to operate not only*in response to electrical signals but also using the movement and availability of ions. Being inherently*electrochromic, meaning that their state of electronic operation is evident from their colour, allows*optical interrogation to be used as a readout mechanism. ***To date we have used electronic/ionic/photonic devices to implement transistors,*sigmoid transfer functions, and both short and*long term memory elements as well as investigating several photoactive device technologies for implementing optical control. The proposed program is to further this work to allow combining arrays of these active elements with a compatible parallel input technology, such as printable photoactive arrays, permitting the formation of 2-dimensional and 3-dimensional systems that emulate functions*similar to those normally accomplished using neurons in biological systems (neuromorphic). In the long term this will make possible the fabrication of complex cellular structures for the implementation of retina-like*image processing functions. Adding more layers and other functionalities, like optical gating and/or*multiple selective ion transport, will allow for even more complex intelligent processing systems.***The implementation of some "intelligent" functions in neuromorphic hardware is an important area of research that has recently become very popular due to the rise of work on memristor-type technologies, which are a part of this effort. This work has and will continue to expand the knowledge in this area and and push toward commercialization of the technologies in Canada adding a complementary effort to software-based AI, in which Canada is already at the forefront.

传统的有源电子器件基于晶体半导体材料，主要是硅。尽管硅的优势继续存在，其限制也在不断扩大，但即将出现的其他技术在互补功能和不适合硅的应用方面有着重大的前景。导电聚合物、有机/无机复合材料和生物材料等活性“软材料”具有有趣的特性，可用于提供独特的功能。这些材料还可以具有与柔性基板兼容和用于制造设备的简单印刷技术的优点。使用软材料的组合，如导电聚合物，凝胶电解质和合适的接触材料，可以制造电子/离子/光子器件。这些设备不仅可以响应电信号，而且还可以利用离子的运动和可用性来操作。由于具有固有的电致变色性，这意味着它们的电子操作状态可以从它们的颜色中明显看出，这使得光学询问可以用作读出机制。* 迄今为止，我们已经使用电子/离子/光子器件来实现晶体管，* S形传递函数，以及短期和 * 长期存储元件，并研究了用于实现光学控制的几种光敏器件技术。拟议的计划是进一步这项工作，以允许这些有源元件的阵列与兼容的并行输入技术相结合，如可打印的光敏阵列，允许形成2维和3维系统，模拟功能 * 类似于那些通常使用神经元在生物系统（neuromorphic）。从长远来看，这将使制造复杂的细胞结构成为可能，以实现类似视网膜的图像处理功能。添加更多的层和其他功能，如光学门控和/或 * 多选择性离子传输，将允许更复杂的智能处理系统。在神经形态硬件中实现一些“智能”功能是一个重要的研究领域，由于记忆电阻器型技术的兴起，最近变得非常流行，这是这项工作的一部分。这项工作已经并将继续扩大这一领域的知识，并推动加拿大技术的商业化，为基于软件的人工智能提供补充。