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Researcher
- Srikanth Yoginath
- Alexey Serov
- Chad Steed
- James J Nutaro
- Jaswinder Sharma
- Junghoon Chae
- Pratishtha Shukla
- Sudip Seal
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- Xiang Lyu
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- Amit K Naskar
- Annetta Burger
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- Gabriel Veith
- Gautam Malviya Thakur
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- Liangyu Qian
- Liz McBride
- Logan Kearney
- Marm Dixit
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nance Ericson
- Nihal Kanbargi
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Rangasayee Kannan
- Ritu Sahore
- Samudra Dasgupta
- Todd Thomas
- Todd Toops
- Tomas Grejtak
- Varisara Tansakul
- Vilmos Kertesz
- Xiaohan Yang
- Xiuling Nie
- Yang Liu
- Yiyu Wang

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

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.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

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.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.