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Researcher
- Ali Riza Ekti
- Raymond Borges Hink
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Brian Sanders
- Burak Ozpineci
- Elizabeth Piersall
- Emilio Piesciorovsky
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- Gerald Tuskan
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- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Isabelle Snyder
- Isaiah Dishner
- Jeff Foster
- Jerry Parks
- John F Cahill
- Joseph Olatt
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- Kunal Mondal
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- Omer Onar
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- Ozgur Alaca
- Paul Abraham
- Peter L Fuhr
- Sam Hollifield
- Vilmos Kertesz
- Vivek Sujan
- Xiaohan Yang
- Yang Liu
- Yarom Polsky

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

Direct-acting antivirals are needed to combat coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

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.