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Researcher
- Alex Plotkowski
- Amit Shyam
- Srikanth Yoginath
- Adam Willoughby
- Anees Alnajjar
- James A Haynes
- James J Nutaro
- Pratishtha Shukla
- Rishi Pillai
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Beth L Armstrong
- Brandon Johnston
- Brian Sanders
- Bruce A Pint
- Charles Hawkins
- Craig A Bridges
- Georgios Polyzos
- Gerald Tuskan
- Gerry Knapp
- Harper Jordan
- Ilenne Del Valle Kessra
- Jaswinder Sharma
- Jerry Parks
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Mariam Kiran
- Marie Romedenne
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Paul Abraham
- Peeyush Nandwana
- Priyanshi Agrawal
- Ryan Dehoff
- Sheng Dai
- Sunyong Kwon
- Varisara Tansakul
- Vilmos Kertesz
- Xiaohan Yang
- Yang Liu
- Ying Yang
- Yong Chae Lim
- Zhili Feng

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.