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- Alex Plotkowski
- Amit Shyam
- James A Haynes
- Stephen M Killough
- Sumit Bahl
- Adam Siekmann
- Alice Perrin
- Andres Marquez Rossy
- Bryan Maldonado Puente
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- Hyeonsup Lim
- Jovid Rakhmonov
- Nicholas Richter
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- Philip Boudreaux
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sunyong Kwon
- Vivek Sujan
- Ying Yang

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.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.