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Researcher
- Vandana Rallabandi
- Subho Mukherjee
- Rama K Vasudevan
- Gui-Jia Su
- Omer Onar
- Sergei V Kalinin
- Yongtao Liu
- Burak Ozpineci
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Mostak Mohammad
- Shajjad Chowdhury
- Veda Prakash Galigekere
- Kyle Kelley
- Rafal Wojda
- Alexander I Wiechert
- Anton Ievlev
- Arpan Biswas
- Benjamin Manard
- Ben Lamm
- Beth L Armstrong
- Charles F Weber
- Costas Tsouris
- Erdem Asa
- Gerd Duscher
- Himel Barua
- Hongbin Sun
- Joanna Mcfarlane
- Jonathan Willocks
- Jon Wilkins
- Liam Collins
- Lingxiao Xue
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Meghan Lamm
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Pedro Ribeiro
- Praveen Cheekatamarla
- Praveen Kumar
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Tolga Aytug
- Utkarsh Pratiush
- Vishaldeep Sharma
- Vivek Sujan

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.

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

Wireless power transfer technology has been increasingly adopted for charging batteries in various applications, notably in electric vehicles (EVs).