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Researcher
- Brian Post
- Peeyush Nandwana
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- Sudarsanam Babu
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- Gyoung Gug Jang
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- Mahim Mathur
- Mark Provo II
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- Matt Larson
- Matt Vick
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Nance Ericson
- Olga S Ovchinnikova
- Oscar Martinez
- Paula Cable-Dunlap
- Philipe Ambrozio Dias
- Priyanshi Agrawal
- Radu Custelcean
- Ramanan Sankaran
- Raymond Borges Hink
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- Rob Root
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
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- Taylor Hauser
- Todd Thomas
- T Oesch
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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

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

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

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.