Electronic Sensing: Characterization, Modeling, and Optimization of Cross-Linked Metal Particles for Microbolometers
Abstract
Uncooled microbolometers can identify targets in dark as well as under adverse ambient conditions (smoke, fog, and dust) and have become an indispensable tool for modem warfare in the battlefield . The performance of current microbolometer materials VOx and RSi H is fundamentally limited because the temperature coefficient of resistance (TCR) and 1/f noise, the two properties determining the device performance, come from a same origin, energy disorder in these materials . In this 3-year project, we will characterize, model , and optimize a nano-engineered microbolometer material, cross-linked metal particles (CLMPs). We will demonstrate that the TCR and noise in the CLMPs can be independently tuned to achieve superior performance, as indicated from our modeling results. Specifically, we will use microscopic models to design CLMP structures with optimal performance for bolometer applications. We will synthesize the designed CLMP structures and grow high-quality CLMP films. We will characterize their infrared absorption, electrical transport, and noise levels. We will tailor CLMP films for optimal microbolometer performance. This research will have a great impact on the critical microbolometer technology for our soldiers. The new kind of bolometer material based on nano-engineered CLMPs will enable independent tuning of the TCR and 1/f noise and revolutionize the search for appropriate microbolometer materials. A much improved sensitivity and performance of the microbolometer would give our troops an unmatched advantage over the adversaries.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1710511
Entities
People
- Zhi-gang Yu
Organizations
- Army Contracting Command
- United States Army
- Washington State University