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Researcher
- Beth L Armstrong
- Jun Qu
- Yong Chae Lim
- Zhili Feng
- Alex Plotkowski
- Amit Shyam
- Corson Cramer
- James A Haynes
- Jian Chen
- Meghan Lamm
- Rangasayee Kannan
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Wei Zhang
- Adam Stevens
- Alice Perrin
- Annetta Burger
- Ben Lamm
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Christopher Ledford
- Dali Wang
- David J Mitchell
- Debraj De
- Ethan Self
- Gabriel Veith
- Gautam Malviya Thakur
- Gerry Knapp
- James Gaboardi
- James Klett
- Jason Jarnagin
- Jesse McGaha
- Jiheon Jun
- Jordan Wright
- Jovid Rakhmonov
- Kevin Spakes
- Kevin Sparks
- Khryslyn G Araño
- Lilian V Swann
- Liz McBride
- Mark Provo II
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Peeyush Nandwana
- Priyanshi Agrawal
- Rob Root
- Roger G Miller
- Ryan Dehoff
- Sam Hollifield
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Sudarsanam Babu
- Sunyong Kwon
- Todd Thomas
- Tolga Aytug
- Trevor Aguirre
- William Peter
- Xiuling Nie
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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 is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).

This invention describes a new combustion synthesis route to produce high purity, high performance DRX cathodes for next-generation Li-ion batteries.