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Researcher
- Amit K Naskar
- Hongbin Sun
- Srikanth Yoginath
- Chad Steed
- James J Nutaro
- Jaswinder Sharma
- Junghoon Chae
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Pratishtha Shukla
- Sudip Seal
- Travis Humble
- Ali Passian
- Annetta Burger
- Arit Das
- Benjamin L Doughty
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Christopher Bowland
- Debraj De
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gautam Malviya Thakur
- Harper Jordan
- Holly Humphrey
- Ilias Belharouak
- James Gaboardi
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- Kevin Sparks
- Liz McBride
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Robert E Norris Jr
- Ruhul Amin
- Samudra Dasgupta
- Santanu Roy
- Sumit Gupta
- Thien D. Nguyen
- Todd Thomas
- Tomas Grejtak
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Vishaldeep Sharma
- Xiuling Nie
- Yiyu Wang

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

A novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.