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20009 - Partha

Award Information
Agency: Department of Defense
Branch: Defense Microelectronics Activity
Contract: HQ072722C0003
Agency Tracking Number: 21-1K4
Amount: $1,099,922.74
Phase: Phase II
Program: STTR
Solicitation Topic Code: 20A-001
Solicitation Number: N/A
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2021-12-16
Award End Date (Contract End Date): 2023-12-15
Small Business Information
6820 Moquin Dr NW
Huntsville, AL 35806-2900
United States
DUNS: 185169620
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Partha Chakraborty
 (256) 726-4800
Business Contact
 Evan Richardson
Phone: (256) 361-0801
Research Institution
 Arizona State University - The Polytechnic School
 Heather Clark
Ira A. Fulton Schools of Engineering
Tempe, AZ 85287-6011
United States

 (480) 727-4625
 Nonprofit College or University

Radiation effects in microelectronics are a significant concern for DoD systems that operate at high altitudes or in outer space. Typical characterization efforts focus on macroscale degradation signatures from electrical measurements at device terminals. However, a comprehensive analysis of radiation-induced physical defects is not possible based solely on terminal measurements. CFD Research and Arizona State University propose a predictive modeling effort to complement detailed experiments for addressing this challenge. We will perform multiscale physics-based modeling of the radiation response of a selected semiconductor device, and use it with the electrical characterization data to guide Transmission Electron Microscopy-based nanoscale material characterization. We will utilize device simulation and measurement data to develop Artificial Intelligence/Machine Learning-based predictive models for quantitative correlation of the radiation-induced nanoscale material defects with macroscale electrical measurements. In Phase I, we successfully performed a feasibility study using multiscale electrical and material characterization of a simple device structure and a relevant radiation effect, while using the data to develop predictive behavioral models for the radiation effect. In Phase II, we will further develop and apply the predictive modeling and experimental method on two different technologies and radiation effects, and demonstrate its benefit towards developing radiation-tolerant electronics for DoD missions.

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

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