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Researcher
- Peeyush Nandwana
- Amit Shyam
- Blane Fillingim
- Brian Post
- Hongbin Sun
- Lauren Heinrich
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Alex Plotkowski
- Andres Marquez Rossy
- Andrew F May
- Ben Garrison
- Brad Johnson
- Bruce A Pint
- Bryan Lim
- Charlie Cook
- Christopher Fancher
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Gordon Robertson
- Hsin Wang
- Ilias Belharouak
- James Klett
- Jay Reynolds
- Jeff Brookins
- John Lindahl
- Mike Zach
- Nedim Cinbiz
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Ryan Dehoff
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Tony Beard
- Vishaldeep Sharma
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.