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Researcher
- Vivek Sujan
- Omer Onar
- Adam Siekmann
- Andrzej Nycz
- Chris Masuo
- Erdem Asa
- Luke Meyer
- Subho Mukherjee
- Vincent Paquit
- William Carter
- Akash Jag Prasad
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Bekki Mills
- Bruce Hannan
- Calen Kimmell
- Canhai Lai
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Dave Willis
- Hyeonsup Lim
- Isabelle Snyder
- James Haley
- James Parks II
- Jaydeep Karandikar
- John Wenzel
- Joshua Vaughan
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Peter Wang
- Polad Shikhaliev
- Ryan Dehoff
- Shajjad Chowdhury
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladimir Orlyanchik
- Vladislav N Sedov
- Yacouba Diawara
- Yun Liu
- Zackary Snow

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

This invention presents a multiport converter (MPC) based power supply to charge the 12 V and 24 V auxiliary batteries in heavy duty (HD) fuel cell (FC) electric vehicle (EV) power train.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.