Mike Frank's Funding Proposals:

Proposals to Investors:

Realistic Theoretical Models of Nanocomputers
Abstract/proposal submitted Aug. 2001 to the NanoInvestor 2002 conference.

Proposals to Industry:

Proposal Abstract for the Development of a Cost-Effective Adiabatic Digital System Technology for Low-Power Computing Applications (Word)
Generic outline of an industry proposal.
Adiabatic Logic for High-Bandwidth Networking Equipment: A Proposed Feasibility Study (Word, PS, PDF)
Preliminary proposal to Nortel Networks' Global External Research program.

Proposals to NSF:

Nanoelectronics Science and Engineering Center (Word, PS, PDF)
A large multi-university project spearheaded by Clemson University.  I am one of many participants in this proposal.
Thermodynamically Efficient Models and Architectures for Maximally Scalable Computing (PDF file, 1.07 MB)
Proposal for an NSF CAREER award.

 
MEMS-based resonant power supplies for driving ultra-low-power adiabatic logic circuits
Draft abstract, probably for an SGER proposal to the NSF, ENG directorate, ECS (Electrical & Communications Systems) division, EPDT (Electronics, Photonics & Device Technologies) and/or IS (Integrative Systems) programs.

 
Maximally Scalable Computing via Physics-Based Models & Architectures
My working abstract for upcoming reversible-computing related NSF proposals, particularly for a CAREER proposal.

Proposals to DARPA:

Practical Energy-Recycling Computation for Mobile Tactical Applications
Pre-proposal submitted to DARPA's Advanced Technologies program, March 2000. (PDF format.)

 
Dynamic Optimization of Semi-Adiabatic Power-Managed Architectures
Pre-proposal submitted to DARPA's Power-Aware Computing and Communication program, October '99. (Postscript format.)

Proposals to academie:

Research and Teaching Plan
My preliminary proposal to start up a new, long-term research and educational program, to further study the theory and practical application of reversible computing and related techniques, and to train graduate student researchers in areas such as low-power computing, the thermodynamics of large-scale parallel computing, and future high-performance computing technologies.