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Efficient Computational Tool for RF-Induced Thermal Response

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-12-M-6340
Agency Tracking Number: F121-032-1396
Amount: $149,984.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF121-032
Solicitation Number: 2012.1
Timeline
Solicitation Year: 2012
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-07-02
Award End Date (Contract End Date): N/A
Small Business Information
2629 Townsgate Road Suite 105
Westlake Village, CA -
United States
DUNS: 005100560
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Dale Ota
 Member Technical Staff
 (805) 371-7500
 dkota@hypercomp.net
Business Contact
 Vijaya Shankar
Title: Vice President
Phone: (805) 371-7556
Email: vshankar@hypercomp.net
Research Institution
 Stub
Abstract

ABSTRACT: In this proposal we suggest a two pronged approach to obtaining fast and efficient solutions to whole-body thermal response of tissue to RF exposures. The first, is the application of high fidelity electromagnetics and heat transfer solvers using high performance computing tools and techniques to obtain fast individual solutions. A multiphysical CPU/GPU based unstructured mesh solver suite at HyPerComp named HDphysics will be used for this purpose. Transmission across different physical disciplines is facilitated by a single code approach, while a front end program to handle geometrical information is available. In the later part of phase-I and a potential future phase of this project, we seek to use reduced order modeling techniques and and an uncertainty based approach to cover a range of thermal outcomes across a wide range of geometries as well as RF exposure parameters. A software utility of this nature can address a long felt need in the community to make maximal use of high performance computing while at the same time cover a wide parameter space in a tractable manner. BENEFIT: In addition to serving the vital interests of the Air Force and DoD, the development proposed will be well suited for a number of commercial applications involving EM simulations. Some of these include patient-specific hyperthermia radiation treatment for cancer, study of long term radiation effects from cellular phones, the sensitivity of cellular phones to various positions in a metropolitan area, hazards from high power lines near residential areas, meeting the EMC specifications of high power microwave circuits, and modeling of waveguide problems. The advancements to be made in quickturnaround parallel processing using GPU/CPU clusters will significantly leverage any commercialization efforts.

* Information listed above is at the time of submission. *

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