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Researcher
- Isabelle Snyder
- Yong Chae Lim
- Zhili Feng
- Adam Siekmann
- Chad Steed
- Emilio Piesciorovsky
- Jian Chen
- Junghoon Chae
- Rangasayee Kannan
- Subho Mukherjee
- Travis Humble
- Vivek Sujan
- Wei Zhang
- Aaron Werth
- Aaron Wilson
- Adam Stevens
- Ali Riza Ekti
- Brian Post
- Bryan Lim
- Dali Wang
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Jiheon Jun
- Nils Stenvig
- Ozgur Alaca
- Peeyush Nandwana
- Priyanshi Agrawal
- Raymond Borges Hink
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Viswadeep Lebakula
- William Peter
- Yarom Polsky
- Yiyu Wang
- Yukinori Yamamoto

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

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.

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.

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.

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

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

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