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Prasanna Balaprakash Director of AI Programs | Section Head, Data and AI Systems | Distinguished R&D Staff Scientist ...
Zhenning Li is a staff scientist in Oak Ridge National Laboratory. He specializes in numerical modeling and design optimization of building equipment. He is chair of ASHRAE Technical Committee 1.13 - ...
The Department of Energy’s Oak Ridge National Laboratory set a new milestone in nuclear component innovation, successfully ...
Dr. Wang is a Distinguished R&D Staff member in the Environmental and Biological Sciences Directorate at Oak Ridge National Laboratory (ORNL) and a Joint Faculty Professor of data and computer science ...
Dr. Kashif Nawaz is a distinguished leader in the field of energy conversion science and technology. He earned his BSc in Mechanical Engineering from Ghulam Ishaq Khan Institute of Technology, ...
Travis Humble is director of the Quantum Science Center, a Distinguished Scientist at Oak Ridge National Laboratory, and director of the lab’s Quantum Computing Institute. Travis is leading the ...
To address the challenge of actinide crystallization in systems with a low chemical potential, solvent displacement crystallization (SDC) techniques are applied to synthesize uranyl oxalate in a ...
To ensure the technology could be scaled up for commercialization, ORNL researchers made coin and pouch cell batteries using industry-standard processes at ORNL’s open-access Battery Manufacturing ...
Solving Big Problems Oak Ridge National Laboratory delivers scientific discoveries and technical breakthroughs needed to realize solutions in energy and national security and provide economic benefit ...
ORNL Fact Sheets These downloadable fact sheets feature Oak Ridge National Laboratory’s key research and development areas, scientific accomplishments, and societal impacts, as well as the information ...
Delivering scientific discoveries and technical breakthroughs The Physical Sciences Directorate (PSD) conducts highly integrated basic and applied research programs that develop new materials, ...
Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications. In ...