Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- Fusion and Fission Energy and Science Directorate
(24)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(138)
- User Facilities (28)
- (-) Information Technology Services Directorate (3)
Researcher
- Hongbin Sun
- Yong Chae Lim
- Zhili Feng
- Jian Chen
- Rangasayee Kannan
- Wei Zhang
- Adam Stevens
- Annetta Burger
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Dali Wang
- Debraj De
- Gautam Malviya Thakur
- Ilias Belharouak
- James Gaboardi
- Jason Jarnagin
- Jesse McGaha
- Jiheon Jun
- Kevin Spakes
- Kevin Sparks
- Lilian V Swann
- Liz McBride
- Mark Provo II
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Priyanshi Agrawal
- Rob Root
- Roger G Miller
- Ruhul Amin
- Ryan Dehoff
- Sam Hollifield
- Sarah Graham
- Sudarsanam Babu
- Thien D. Nguyen
- Todd Thomas
- Tomas Grejtak
- Vishaldeep Sharma
- William Peter
- Xiuling Nie
- Yiyu Wang
- Yukinori Yamamoto

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

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

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

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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

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 technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

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.