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Researcher
- Alex Plotkowski
- Amit Shyam
- Srikanth Yoginath
- Yong Chae Lim
- Anees Alnajjar
- James A Haynes
- James J Nutaro
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Zhili Feng
- Adam Stevens
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Beth L Armstrong
- Brian Post
- Brian Sanders
- Bryan Lim
- Craig A Bridges
- Femi Omitaomu
- Georgios Polyzos
- Gerald Tuskan
- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jaswinder Sharma
- Jeff Foster
- Jerry Parks
- Jian Chen
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Josh Michener
- Jovid Rakhmonov
- Liangyu Qian
- Mariam Kiran
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Paul Abraham
- Priyanshi Agrawal
- Roger G Miller
- Sarah Graham
- Sheng Dai
- Sudarsanam Babu
- Sunyong Kwon
- Tomas Grejtak
- Varisara Tansakul
- Vilmos Kertesz
- Wei Zhang
- William Peter
- Xiaohan Yang
- Yang Liu
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.