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Researcher
- Ilias Belharouak
- Ali Abouimrane
- Ruhul Amin
- Soydan Ozcan
- Stephen M Killough
- Xianhui Zhao
- Alex Roschli
- Bryan Maldonado Puente
- Corey Cooke
- Dali Wang
- David L Wood III
- Diana E Hun
- Erin Webb
- Evin Carter
- Georgios Polyzos
- Halil Tekinalp
- Hongbin Sun
- Jaswinder Sharma
- Jeremy Malmstead
- Jian Chen
- John Holliman II
- Junbin Choi
- Kitty K Mccracken
- Lu Yu
- Marm Dixit
- Mengdawn Cheng
- Nolan Hayes
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peter Wang
- Philip Boudreaux
- Pradeep Ramuhalli
- Ryan Kerekes
- Sally Ghanem
- Sanjita Wasti
- Tyler Smith
- Wei Zhang
- Yaocai Bai
- Zhijia Du
- Zhili Feng

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

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

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

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.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

ORNL has developed a new hydrothermal synthesis route to generate high quality battery cathode precursors. The new route offers excellent compositional control, homogenous spherical morphologies, and an ammonia-free co-precipitation process.

Sodium-ion batteries are a promising candidate to replace lithium-ion batteries for large-scale energy storage system because of their cost and safety benefits.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.