STTR Phase I: Anthocyanin Signaling of Heavy Metal Contamination

Award Information
National Science Foundation
Award Year:
Phase I
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Edenspace Systems Corporation
15100 Enterprise Court, Dulles, VA, 20151
Hubzone Owned:
Minority Owned:
Woman Owned:
Principal Investigator:
Michael Blaylock
() -
Business Contact:
() -
Research Institution:
University of Wyoming

1000 East University Avenue
Laramie, WY, 82071

Nonprofit college or university
This Small Business Technology Transfer Phase I project will produce a unique computational tool for predicting transport in nanoscale systems. The novel approach to be used here is based on Lattice Boltzmann Methods (LBM) which will enable virtual prototyping of nanodevices using grids of up to a hundred million computational cells thus opening the way for computer aided design and analysis of NEMS devices in the data storage industry. Existing LBM codes will be extended to handle the high Knudsen number range applicable for the head disk interface in computer disk drive system. This new analytical model will then be implemented in a commercial software package, PowerFLOW, which is now used for automotive applications worldwide and has early applications in the data storage industry. With this platform, the highest standards of numerical accuracy, parallel efficiency, and geometric flexibility (including full integration with commercial CAD tools), will be obtained. Upon benchmarking this algorithm against simplistic flow data, a nanoscale transport problem of industrial level complexity will be simulated, with the goal to resolve all the relevant geometric details of the slider and to obtain detailed pressure and shear (head) stress distributions. Commercially, this nanoscale transport prediction tool will open new simulation markets, especially at the engineering design level. Secondly, this new technology should open broad new markets for computer aided engineering (CAE), especially in NEMS and related industries, by enabling nanoscale transport prediction in devices of real world complexity which are now designed/optimized using either experimentation or semi-empirical rules. Market analysis shows that the existing CAE market of about $150 MM per year should increase 10- to 100-fold by introducing new prediction technologies at the engineering design level.

* information listed above is at the time of submission.

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