What’s New:

August 2023

RNET has recently been awarded a Department of Energy Phase II SBIR to develop a Machine Learning Based Data Compression (MLDC) algorithm for numeric simulation data.

July 2023

RNET has recently been awarded a NASA Phase I SBIR to develop a Rapid Data Analytics Platform using machine learning uses a novel dimensional reduction algorithm.

June 2023

RNET has recently been awarded an NIH Phase II SBIR to design and develop Machine Learning tools to help Pathologists overcome the limitations of current computing hardware to design more accurate deep learning models for use in clinical diagnostics. These models will be able to analyze very large digitized images of glass slides (i.e., Whole Slide Images) to aid pathologists in tasks like cancer detection. The ability to analyze these images in their entirety instead of in small parts will improve the diagnostic accuracy of models and will accelerate algorithm development efforts.

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The objective of this topic is to develop an optimized SLS-based Infrared FPA for high temperature operation with considerations for lower cost, size, weight, and power (C-SWAP).

Infrared imaging systems in use today come at a high cost, require large amounts of space, are heavy, and consume large amounts of power. To reduce noise and improve responsivity, such detectors are cryogenically cooled to below -200 ºC, which in combination with C-SWAP requirements greatly limit their applicability for integration into aircraft. Detector structures composed of SLS material have demonstrated the potential to achieve high temperature operation MWIR and LWIR, responsivity similar to HgCdTe detectors, and reduced dark currents.

Several improvements have been incorporated into standard ROIC designs to specifically optimize them for use both MWIR and LWIR SLS detector technologies. It is anticipated that this approach will result in the fabrication of a SLS-optimized ROIC that will be hybridized with a detector, resulting in focal plane arrays with superior capabilities in terms of high temperature operation, responsivity, and reduced dark currents for insertion into both MWIR and LWIR imaging systems on multiple surveillance, threat warning, and situational awareness platforms.