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Researcher
- Sheng Dai
- Beth L Armstrong
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Zhenzhen Yang
- Craig A Bridges
- Jun Qu
- Shannon M Mahurin
- Alex Plotkowski
- Amit Shyam
- Chad Steed
- Corson Cramer
- Edgar Lara-Curzio
- Ilja Popovs
- James A Haynes
- Junghoon Chae
- Li-Qi Qiu
- Meghan Lamm
- Mingyan Li
- Sam Hollifield
- Saurabh Prakash Pethe
- Steve Bullock
- Sumit Bahl
- Tolga Aytug
- Tomas Grejtak
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- Uday Vaidya
- Ahmed Hassen
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- Anees Alnajjar
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- Brian Weber
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- Christopher Ledford
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- Eric Wolfe
- Ethan Self
- Frederic Vautard
- Gabriel Veith
- Gerry Knapp
- Isaac Sikkema
- James Klett
- Jayanthi Kumar
- Jordan Wright
- Joseph Olatt
- Jovid Rakhmonov
- Kaustubh Mungale
- Kevin Spakes
- Khryslyn G Araño
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Marm Dixit
- Mary A Adkisson
- Matthew S Chambers
- Michael Kirka
- Nageswara Rao
- Nancy Dudney
- Nicholas Richter
- Nidia Gallego
- Oscar Martinez
- Peeyush Nandwana
- Phillip Halstenberg
- Rangasayee Kannan
- Samudra Dasgupta
- Santa Jansone-Popova
- Sergiy Kalnaus
- Shajjad Chowdhury
- Subhamay Pramanik
- Sunyong Kwon
- Tao Hong
- T Oesch
- Tomonori Saito
- Trevor Aguirre
- Vlastimil Kunc
- Ying Yang
- Yiyu Wang

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

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.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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