VLSI CMOS-memristor Building-block for Future Autonomous Air Platforms

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-11-C-0114
Agency Tracking Number: F10B-T31-0242
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2011
Solitcitation Year: 2010
Solitcitation Topic Code: AF10-BT31
Solitcitation Number: 2010.B
Small Business Information
Orora Design Technologies, Inc.
18378 Redmond Fall CIty Road, Redmond, WA, 98052-
Duns: 010947088
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Lili Zhou
 Senior Member of Technical Staff
 (425) 702-9196
Business Contact
 Tracey Luo
Title: Board Member
Phone: (425) 702-9196
Email: tracey.luo@orora.com
Research Institution
 University of Albany
 Professor W Wang
 CNSE, 255 Fuller Rd.
Albany, NY, 12222-
 (518) 956-7057
 Nonprofit college or university
ABSTRACT: In this project, Orora Design Technologies, Inc. is teaming up with researchers from the University at Albany and the University of Washington to develop techniques to design, simulate and fabricate CMOS-memristor CMOL crossnet building blocks and neuromorphic processors. Phase I objective is to simulate and demonstrate autonomous computing building cell blocks with power consumption of less to 2x10-11 watts and footprint area of less than 2x10-13 m2. Specific emphasis will be on (1) exploring the efficient and reliable fabrication/integration methods for MEMRISTOR devices and CMOS devices; (2) designing and demonstrating a CMOL crossnet cell (3) designing and simulating the CMOS-MEMRISTOR crossnet processor and the development of suitable CAD tool framework. This project is expected to show the potential of memristor-like technology (passive memory devices: memristor, magnetic junction, and/or continuous variable resistance devices) for enabling massively parallel large scale neuromorphic computing processor architecture development. BENEFIT: .. It is expected that this project will enable new ultra-compact, ultra-fast, and self-learning CMOS-memristory systems for both military and commercial applications such as command, control, surveillance and communications, as well as consumer electronics, digital signal processing and biomedical applications.

* information listed above is at the time of submission.

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