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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Ali Passian
- Benjamin Manard
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Costas Tsouris
- Cyril Thompson
- Kyle Kelley
- Stephen Jesse
- Alexander I Kolesnikov
- Alexander I Wiechert
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- Mahshid Ahmadi-Kalinina
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- Mary Danielson
- Matthew B Stone
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- Md Inzamam Ul Haque
- N Dianne Ezell
- Neus Domingo Marimon
- Nick Gregorich
- Ondrej Dyck
- Peter Wang
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- Robert Sacci
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- Syed Islam
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- Udaya C Kalluri
- Utkarsh Pratiush
- Vandana Rallabandi
- Victor Fanelli
- Vilmos Kertesz
- Vincent Paquit
- Xiaohan Yang
- Xiuling Nie
- Zhenglai Shen

Given the challenge of different embedding (or representation or features) of geospatial PoI (points of interest) data types and geo-tagged ground-level imagery data types, this work performs the conflation of PoI and ground-level images data into a joint semantic knowledge gr

This invention provides a method for differentiating if the cell is failing due to chemical/mechanical factors or due to Li dendrite formation by combing high throughput electronic measurement recording with fast data analysis to monitor the change of battery performance at th

This suite of sensors and data logging capability offer insight to relevant conditions that impact RF ion source stability and longevity. Thermal and magnetic data logging allows near real-time monitoring to identify and alert to out-of-normal conditions.

This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.

Technologies are described directed to hybrid phase-period tracking to improve resolution of large displacements in Fabry-Perot sensors.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

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

Technologies for high pressure ion chromatograph are described.

Technologies are described directed to high-rate neutron beam monitoring.

The invention provides multimodal nonlinear optical imaging.