CFD Research awarded NOAA contract to improve short-term lightning prediction and data accessibility
CFD Research’s award addresses the Weather Enterprise’s goal of reducing injury and lost productivity due to lightning…
Delivering Breakthrough Solutions
CFD Research’s award addresses the Weather Enterprise’s goal of reducing injury and lost productivity due to lightning…
CFD Research was recently awarded a $1.5M contract from MDA to develop non-toxic supercapacitors based on plant-derived carbon materials.
CFD Research was awarded the contract to further develop a novel game-based application to help adults recover and rehabilitate from vestibular issues and improve outcomes.
A $42.6M Small Business Innovative Research (SBIR) Phase III contract from the Air Force to apply AI/ML within a Modular Open System Approach (MOSA)
CFD Research has been awarded a multiple-award IDIQ contract to compete for orders under a $950,000,000 ceiling for to support Joint All Domain Command and Control (JADC2).
CFD Research has been selected as a prime contractor for the Air Force’s Eglin Wide Agile Acquisition Contract (EWAAC).
CFD Research was recently awarded a contract to characterize the performance of silicon carbide (SiC)-based electronics for power conversion and other electronic applications in NASA fission power systems (FPS).
CFD Research was recently awarded a NASA contract to develop an integrated approach to combine measurement and modeling methodologies for analysis and design of lander plume-surface interactions.
CFD Research was recently awarded a $400k research grant addressing the critical need for the development of computational tools to translate preclinical testing results from animals to humans for ophthalmic drug products. This project will provide researchers with a better understanding of the specific differences between animal and human eyes that result in differences in ocular drug distribution.
CFD Research has been awarded a $1M Army contract to further develop an innovative Computational Fluid Dynamics (CFD) and Machine Learning (ML) based computational tool for accurate and rapid prediction of transient turbulent flow, heat transfer and thermal signatures. The survivability of military vehicles and their occupants often depends on efficient control of their thermal infrared (IR) signature as IR emissions, stemming from the thermal load, of military vehicles are used to detect, track, and lock-on to the target. Thermal modeling is typically used in order to predict and achieve performance goals related to the control of IR signatures.