NER/SNB: Electronic Devices from Viral and Cytoskeletal Templates

提案编号：0508338标题：病毒和细胞骨架模板的电子器件Inst：University of Virginia PI：Michael Reed这项研究将采用良好表征的自组织生物系统作为模板来制造有源纳米级电子器件，包括纳米级器件和接触垫之间的集成电互连。该项目将生物过程和分子遗传技术应用于实际工程问题：制造分子级电子器件，具有精确的尺寸和可预测和可再现的性能，可以以低成本扩展到数十亿或数万亿的集成器件。集成电路上晶体管的数量和性能呈几何级数增长，这是由器件缩小到更小尺寸所驱动的，只能用新技术来继续，这些新技术回避了依赖于照相图案转移的当前制造技术所施加的基本限制。拟议中的新技术利用自然进化的自组装技术来制造电子开关。此外，将开发使用细胞骨架模板来制造导电微管的方法，用于接触这种和其他分子电子器件。这项工作解决了一个棘手的问题，在世界上的分子器件接口，在纳米尺度，在实际系统中所需的微米和毫米尺度。在这项研究中开发的技术的演示将大大提高我们利用生物系统设计和开发更复杂的自组织电子系统的能力。

Proposal No: 0508338Title: Electronic Devices from Viral and Cytoskeletal TemplatesInst: University of VirginiaPI: Michael ReedThis research will employ well characterized, self-organizing biological systems as templates to fabricate active nanoscale electronic devices, including integrated electrical interconnects between the nanoscale devices and contact pads. The project applies biological processes and molecular genetic techniques to a practical engineering problem: the fabrication of a molecular-scale electronic device, with precise dimensions and predictable and reproducible performance, in a way that can be scaled to billions or trillions of integrated devices, at a low cost. The geometrically increasing number and performance of transistors on integrated circuits, driven by scaling of devices to smaller dimensions, can only be continued with new technologies that sidestep fundamental limits imposed by current manufacturing techniques relying on photographic pattern transfer. The proposed new technology harnesses self-assembly techniques, evolved by nature, to fabricate electronic switches. Also, methods will be developed to use cytoskeletal templates to fabricate conducting microtubules, useful for contacting this and other molecular electronic devices. This work addresses a vexing problem in interfacing the world of molecular devices, at the nanometer scale, to the micron and millimeter scales necessary in practical systems. Demonstration of the techniques developed in this research will significantly advance our ability to leverage biological systems in the design and development of more complex, self-organizing electronic systems.