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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Steven Guzorek
- Vipin Kumar
- Brian Post
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- Soydan Ozcan
- Srikanth Yoginath
- Chad Steed
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- Pratishtha Shukla
- Pum Kim
- Segun Isaac Talabi
- Sudip Seal
- Travis Humble
- Tyler Smith
- Uday Vaidya
- Umesh N MARATHE
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- Julian Charron
- Karen Cortes Guzman
- Kashif Nawaz
- Katie Copenhaver
- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Kuma Sumathipala
- Mengjia Tang
- Merlin Theodore
- Muneeshwaran Murugan
- Nadim Hmeidat
- Nance Ericson
- Oluwafemi Oyedeji
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Ryan Ogle
- Samudra Dasgupta
- Sana Elyas
- Steve Bullock
- Subhabrata Saha
- Sudarsanam Babu
- Thomas Feldhausen
- Tomas Grejtak
- Tomonori Saito
- Varisara Tansakul
- Xianhui Zhao
- Yiyu Wang
- Zoriana Demchuk

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

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 use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.