Press Releases

Sep 22, 2021

DoD Paves the Way for Critical Mineral Recovery from Coal Ash

Physical Sciences Inc. (PSI), in partnership with the Department of Defense’s Office of Industrial Policy (IndPol), recently kicked off the “Critical Minerals from Coal Ash” prototype pilot project. This $4 million, 30-month project funded under IndPol’s Industrial Base Analysis and Sustainment (IBAS) program will develop and demonstrate next generation technologies for recovery of critical minerals, including rare earth elements/rare earth oxides (REE/REOs), from coal ash using a domestic supply source.

Sep 20, 2021

Lightweight Wideband Satcomm Phased Array (LWSPA)

Physical Sciences Inc. (PSI) has been awarded a program from the U.S. Army to develop a lightweight, low-cost phased array antenna system enabling beyond line-of-sight (BLOS) communications for command and control of the Future Tactical UAS (FTUAS).

Sep 03, 2021

COMbine BAground multi-band Target-Scene Projector (COMBAT-SP)

Physical Sciences Inc. (PSI) has been awarded a program from the Naval Air Warfare Center to develop a COMbined BAckground multi-band Target-Scene Projector (COMBAT-SP) to address the Navy’s need to simulate countermeasure performance through hardware-in-the-loop (HWIL) testing.

Aug 24, 2021

Multi-modal Cloud Based System for Detecting Early Signs of Driver Cognitive Decline and/or High Risk Driving Behavior

Physical Sciences Inc (PSI), has been awarded a research program from the National Institutes of Health /National Institute of Aging (NIH /NIA) to develop a novel technology that will non-intrusively monitor driver cognitive decline and/or high-risk driving behavior that is especially suited for seniors (aged over 65).

Aug 19, 2021

Environmentally Adaptive Free-Space Optical Communication

Physical Sciences Inc has been awarded a research contract from the US Army to develop an adaptive free-space optical communication system, capable of maintaining low bit error rate (~ 10-9) over long ranges (> 20 km) by correcting for atmospheric and other environmental factors while operating at eye-safe power levels.

Aug 11, 2021

Multispectral cellular-level retinal imaging for early detection of Alzheimer's disease

Physical Sciences Inc. (PSI), has been awarded a research program from the National Institutes of Health (NIH) to develop a novel technique to identify amyloid β-protein (Aβ) deposits in the retina as a biomarker for Alzheimer’s disease (AD).

PSI will develop an optical imaging technique capable of non-invasively identifying specific chemical compounds in vivo in the retina with cellular-level resolution and without the use of contrast agents. PSI will validate the ability of this technique to identify early indications of AD.

Aug 03, 2021

Long-Wave Infrared Transceivers for High Speed Free Space Optical Communications in Adverse Weather Conditions

Physical Sciences Inc. (PSI), in partnership with Thor Quantum Electronics (TQE) has been awarded a research program from the U.S. Navy to develop and demonstrate a high bandwidth free space optical (FSO) communications link using novel high bandwidth LWIR quantum cascade lasers (QCLs).

Jul 27, 2021

Wearable High-Power Microwave Exposure Sensor

Physical Sciences Inc. (PSI) has been awarded a contract from the U.S. Army to develop a novel low-cost wearable sensor to detect exposure to high-power microwave (HPM) weapons.

Jul 22, 2021

BioSIGMA Sensor Expansion and Turbulence Modeling

Physical Sciences Inc. (PSI) has been awarded a contract from DARPA for the enhancement and maturation of BioSIGMA, a persistent early-warning capability for the detection and identification of aerosolized biological warfare agents.

Jul 21, 2021

Deep Neural Network Algoritms for Upscaling of Surface Images

Physical Sciences Inc. (PSI) has been awarded a research program from the National Aeronautics and Space Administration (NASA) to develop the Single Image Super Resolution for Quantitative Analysis (QuantSISR) software suite comprising state-of-the-art super-resolution (SR) algorithms optimized to reduce errors during subsequent image analysis such as common computer vision tasks (image segmentation, object detection).