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Researcher
- Yong Chae Lim
- Zhili Feng
- Andrzej Nycz
- Jian Chen
- Kuntal De
- Mike Zach
- Rangasayee Kannan
- Udaya C Kalluri
- Wei Zhang
- Adam Stevens
- Alex Walters
- Andrew F May
- Annetta Burger
- Ben Garrison
- Biruk A Feyissa
- Brad Johnson
- Brian Post
- Bruce Moyer
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Chris Masuo
- Christopher Hershey
- Clay Leach
- Craig Blue
- Dali Wang
- Daniel Rasmussen
- Debjani Pal
- Debraj De
- Gautam Malviya Thakur
- Hsin Wang
- James Gaboardi
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- Jesse McGaha
- Jiheon Jun
- John Lindahl
- Justin Griswold
- Kevin Sparks
- Laetitia H Delmau
- Liz McBride
- Luke Sadergaski
- Nedim Cinbiz
- Padhraic L Mulligan
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sandra Davern
- Sarah Graham
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Tony Beard
- Vincent Paquit
- William Peter
- Xiaohan Yang
- Xiuling Nie
- Yiyu Wang
- Yukinori Yamamoto

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

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.

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

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.