Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate (223)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (135)
- User Facilities (27)
Researcher
- Chad Steed
- Junghoon Chae
- Travis Humble
- Annetta Burger
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Debraj De
- Femi Omitaomu
- Gautam Malviya Thakur
- Haowen Xu
- James Gaboardi
- Jesse McGaha
- Kevin Sparks
- Liz McBride
- Peeyush Nandwana
- Rangasayee Kannan
- Samudra Dasgupta
- Todd Thomas
- Tomas Grejtak
- Xiuling Nie
- Yiyu Wang

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

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 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.

We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software engin