1 - 10 of 19 Results
ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.
The technologies provide additively manufactured thermal protection system.
We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.
This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).
Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.
The technologies provide a system and method of needling of veiled AS4 fabric tape.
Fiberglass, semi-structural insulation for recycled glass fiber and using a low cost silicon with pultruded rods, either fiberglass and a low cost resin, polyester for pultruded rods. It will reduce the use of wood, which is flammable, and still be structural.
We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.
This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.
The ID provides a solution approach for faster chemical processing and carbon functional grading from SiC to MC to provide a tougher carbon and CMC structure.