Advanced Solutions for Radiation Susceptibility Analysis & Prediction

Award Information
Agency: Department of Defense
Branch: Defense Threat Reduction Agency
Contract: HDTRA119C0014
Agency Tracking Number: T2-0323
Amount: $998,941.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: DTRA162-006
Solicitation Number: 2016.2
Timeline
Solicitation Year: 2016
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-01-09
Award End Date (Contract End Date): 2021-01-08
Small Business Information
9000 Virginia Manor Road, Beltsville, MD, 20705
DUNS: 181660775
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ashok Alagappan
 (301) 640-5816
 aalagappan@dfrsolutions.com
Business Contact
 Ed Dodd
Phone: (301) 640-5811
Email: edodd@dfrsolutions.com
Research Institution
N/A
Abstract
The increasing complexity of devices, reduced budgets and accelerated program timelines, requires a new approach to predicting radiation of integrated circuit (IC) designs.Most approaches to date require gate level analysis and do not scale easily to device level calculations, leading to methods that are note practical under most program timeline and cost budgets.Previously, DfR Solutions has demonstrated a functional group approach to integrated circuit wearout that has greatly accelerated analysis and made such an exercise more accessible to industry by drastically reducing time and cost.Similarly, DfR Solutions will adapt the functional group methodologies to streamline radiation analysis of an entire complex integrated circuit device.In addition to reducing the analysis burden, DfR Solutions will use their physics of failure, modeling and tool creation experience to build the tool to accept input from traditional industry sources.This will accelerate the user experience by pre-populating many of the required parameters for analysis with industry accepted values.Successful past efforts have refined industry prediction algorithms, created linkages to standard data packages for input and developed practical software packages suitable for design analysis that reduce program cos, timeline and risk.

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

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