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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Mike Zach
- Andrew F May
- Anton Ievlev
- Arpan Biswas
- Ben Garrison
- Brad Johnson
- Bruce Moyer
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debjani Pal
- Gerd Duscher
- Hsin Wang
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- John Lindahl
- Justin Griswold
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nedim Cinbiz
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Sai Mani Prudhvi Valleti
- Sandra Davern
- Stephen Jesse
- Sumner Harris
- Tony Beard
- Utkarsh Pratiush

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.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

An ORNL team has developed a method for screening for an immunoregulatory protein, which includes assessing the sequence of a candidate protein to determine if it is an immunoregulatory protein when at least one plasminogen-apple-nematode (PAN) domain with a consensus sequence