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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Andrzej Nycz
- Kuntal De
- Sergei V Kalinin
- Udaya C Kalluri
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- Alexander I Wiechert
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- Paula Cable-Dunlap
- Richard L. Reed
- Stephen Jesse
- Steven Randolph
- Vandana Rallabandi
- Vincent Paquit
- Xiaohan Yang
- Yongtao Liu

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.

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

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Pyrolysis evolved gas analysis – mass spectrometry (EGA-MS) and pyrolysis gas chromatography – MS (GC-MS) – are powerful analytical tools for polymer characterization.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.