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- Corson Cramer
- Steve Bullock
- Alex Plotkowski
- Amit Shyam
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- Singanallur Venkatakrishnan
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- Sunyong Kwon
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- Ying Yang

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.