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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yong Chae Lim
- Ahmed Hassen
- J.R. R Matheson
- Joshua Vaughan
- Lauren Heinrich
- Rangasayee Kannan
- Viswadeep Lebakula
- Yousub Lee
- Zhili Feng
- Adam Stevens
- Alexandre Sorokine
- Alex Roschli
- Amit Shyam
- Annetta Burger
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- Bryan Lim
- Cameron Adkins
- Carter Christopher
- Chance C Brown
- Christopher Fancher
- Chris Tyler
- Clinton Stipek
- Craig Blue
- Daniel Adams
- David Olvera Trejo
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- Gordon Robertson
- Isha Bhandari
- James Gaboardi
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jesse McGaha
- Jessica Moehl
- Jian Chen
- Jiheon Jun
- John Lindahl
- John Potter
- Kevin Sparks
- Liam White
- Liz McBride
- Luke Meyer
- Michael Borish
- Philipe Ambrozio Dias
- Priyanshi Agrawal
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Steven Guzorek
- Taylor Hauser
- Todd Thomas
- Tomas Grejtak
- Vlastimil Kunc
- Wei Zhang
- William Carter
- William Peter
- Xiuling Nie
- 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.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

A valve solution that prevents cross contamination while allowing for blocking multiple channels at once using only one actuator.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.