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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Ali Passian
- Benjamin Manard
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Yongtao Liu
- Costas Tsouris
- Cyril Thompson
- Kyle Kelley
- Stephen Jesse
- Alexander I Kolesnikov
- Alexander I Wiechert
- Alex Walters
- An-Ping Li
- Andrew Lupini
- Andrzej Nycz
- Anisur Rahman
- Anton Ievlev
- Arpan Biswas
- Brandon A Wilson
- Brian Post
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- Clay Leach
- Craig A Bridges
- Dave Willis
- Debangshu Mukherjee
- Derek Dwyer
- Emilio Piesciorovsky
- Gerd Duscher
- Hong Wang
- Hoyeon Jeon
- Jeffrey Einkauf
- Jewook Park
- Joanna Mcfarlane
- John Wenzel
- Jonathan Willocks
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mark Loguillo
- Marti Checa Nualart
- Mary Danielson
- Matthew B Stone
- Matt Vick
- Md Inzamam Ul Haque
- N Dianne Ezell
- Neus Domingo Marimon
- Nick Gregorich
- Ondrej Dyck
- Peter Wang
- Radu Custelcean
- Robert Sacci
- Saban Hus
- Sai Mani Prudhvi Valleti
- Som Shrestha
- Syed Islam
- Udaya C Kalluri
- Utkarsh Pratiush
- Vandana Rallabandi
- Victor Fanelli
- Vilmos Kertesz
- Vincent Paquit
- Xiaohan Yang
- Zhenglai Shen

The invention provides a method for achieving sufficiently strong excitation fields necessary to drive the third- order optical responses over the large focal region.

We have devised a low cost, non-consumable, highly selective nanotrap-based sensor with broad dynamic sensing and temperature range, including ambient temperature, that could be used for the direct detection and concentration measurement of the dissolved or free gases.

Time-of-flight secondary ion mass spectrometry (ToF-SIMS) enables static chemical investigations in a wide range of materials and other systems.

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.

The invention provides a method to analyze a thin tissue surface and laser ablation sampling by automated analysis by droplet probe mass spectrometry

The invention provides a system to sample aerosols released from spent fuel rod segments as it is fractured.

The invention describes the methodology of liquid extraction through a porous membrane surface using a liquid vortex capture mass spectrometry probe. The chemical analysis of living systems has become more feasible with the development of more sensitive analytical techniques.

Spatially resolved chemical imaging is critical to progress in applications ranging from materials science to medicine where visualizing chemical distributions with nanoscale resolution is import to tuning material functionality as well as understand signaling pathways.

The invention relates to sensors and more specifically to a sensor for monitoring a gas stream to determine if asbestos fibers are present.

Information Notice
CAN-D: Controller Area Network Decoder (UT-B ID 202004299) and Universally Applicable Signal-Based Controller Area Network (CAN) Intrusion Detection System (UT-B ID 202004640)