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Researcher
- Ali Passian
- Adam Siekmann
- Claire Marvinney
- Diana E Hun
- Easwaran Krishnan
- Harper Jordan
- Hong Wang
- Hyeonsup Lim
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- Jamieson Brechtl
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- Mengjia Tang
- Muneeshwaran Murugan
- Nance Ericson
- Srikanth Yoginath
- Tomonori Saito
- Varisara Tansakul
- Vivek Sujan
- Zoriana Demchuk

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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.

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.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.