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Researcher
- Ali Passian
- Hsuan-Hao Lu
- Joseph Lukens
- Nicholas Peters
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Joseph Chapman
- Muneer Alshowkan
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- Blane Fillingim
- Brian Post
- Costas Tsouris
- Gs Jung
- Gyoung Gug Jang
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- Lauren Heinrich
- Nageswara Rao
- Pratishtha Shukla
- Radu Custelcean
- Sergiy Kalnaus
- Sudarsanam Babu
- Sudip Seal
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- Beth L Armstrong
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- Claire Marvinney
- Craig A Bridges
- Debangshu Mukherjee
- Debjani Pal
- Emilio Piesciorovsky
- Femi Omitaomu
- Gary Hahn
- Georgios Polyzos
- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Jaswinder Sharma
- Jeffrey Einkauf
- Jennifer M Pyles
- Joel Asiamah
- Joel Dawson
- Jong K Keum
- Josh Michener
- Jovid Rakhmonov
- Justin Griswold
- Kuntal De
- Laetitia H Delmau
- Liangyu Qian
- Luke Sadergaski
- Mariam Kiran
- Md Inzamam Ul Haque
- Mike Zach
- Mina Yoon
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Ramanan Sankaran
- Raymond Borges Hink
- Ryan Dehoff
- Sandra Davern
- Serena Chen
- Sheng Dai
- Sunyong Kwon
- Varisara Tansakul
- Vimal Ramanuj
- Vivek Sujan
- Wenjun Ge
- Ying Yang

An ultrabroadband, polarization-entangled photon source for C+L-band quantum networks, enabling adaptive, high-fidelity entanglement distribution.

Biocompatible nanoparticles have been developed that can trap and retain therapeutic radionuclides and their byproducts at the cancer site. This is important to maximize the therapeutic effect of this treatment and minimize associated side effects.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.

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

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.

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