NER: Y-Junction Nanotube-based Computer Devices and Architectures

Brown University, Providence RI

Investigators

Abstract

Proposal Number: 304284 Principal Investigators: R. Iris Bahar, Jie Chen, Joseph Mundy Inst: Brown University Proposal Title: NER: Y-Junction Nanotube-based Computer Devices and Architectures This research focuses on exploratory research in nano-scale computation. These new forms of computation will allow for more efficient means of exploiting nano-scale electronics and devices than those based on traditional silicon-based computation. In particular, this research focuses on finding an effective means of dealing with high defect rates found in nano-scale devices and developing an architecture that is dynamically defect tolerant. Three areas are being developed: (1) Device models are being defined based on Y-junction carbon nanotubes (CNTs). This work may include use of self-assembly capabilities to program interconnections of CNT devices and build I/O interfaces. (2) A probabilistic-based design methodology for nano-scale computer devices will be proposed based on the Markov random network and brief propagation. This methodology allows for an architecture that adapts to errors as a natural consequence of probability maximization, thereby removing the need to actually detect faults. (3) A new course in nano-computing will be introduced in fall 2003. The course will offer a unique opportunity to expose students to the wide range of disciplines that influence nano-computing.