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Researcher
- Vandana Rallabandi
- Subho Mukherjee
- Rama K Vasudevan
- Ryan Dehoff
- Gui-Jia Su
- Omer Onar
- Sergei V Kalinin
- Yongtao Liu
- Burak Ozpineci
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Mostak Mohammad
- Olga S Ovchinnikova
- Shajjad Chowdhury
- Veda Prakash Galigekere
- Costas Tsouris
- Kashif Nawaz
- Michael Kirka
- Rafal Wojda
- Stephen Jesse
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alexander I Wiechert
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Benjamin Manard
- Ben Lamm
- Beth L Armstrong
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Fricke
- Brian Post
- Charles F Weber
- Christopher Ledford
- Christopher Rouleau
- Clay Leach
- David Nuttall
- Debangshu Mukherjee
- Erdem Asa
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Himel Barua
- Hongbin Sun
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Haley
- Jamieson Brechtl
- Jewook Park
- Joanna Mcfarlane
- Jonathan Willocks
- Jong K Keum
- Jon Wilkins
- Kai Li
- Kyle Gluesenkamp
- Liam Collins
- Lingxiao Xue
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Md Inzamam Ul Haque
- Meghan Lamm
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Pedro Ribeiro
- Peeyush Nandwana
- Philip Bingham
- Praveen Cheekatamarla
- Praveen Kumar
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Singanallur Venkatakrishnan
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Tolga Aytug
- Utkarsh Pratiush
- Vipin Kumar
- Vishaldeep Sharma
- Vivek Sujan
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zhiming Gao

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 technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

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

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

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 innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

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

ORNL has developed a revolutionary system for wirelessly transferring power to electric vehicles and energy storage systems, enabling efficient, contactless charging.