Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate (217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(128)
- User Facilities (27)
Researcher
- Peeyush Nandwana
- Amit K Naskar
- Amit Shyam
- Blane Fillingim
- Brian Post
- Chad Steed
- Jaswinder Sharma
- Junghoon Chae
- Lauren Heinrich
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Travis Humble
- Yousub Lee
- Alex Plotkowski
- Andres Marquez Rossy
- Arit Das
- Benjamin L Doughty
- Bruce A Pint
- Bryan Lim
- Christopher Bowland
- Christopher Fancher
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gordon Robertson
- Holly Humphrey
- Jay Reynolds
- Jeff Brookins
- Peter Wang
- Robert E Norris Jr
- Ryan Dehoff
- Samudra Dasgupta
- Santanu Roy
- Steven J Zinkle
- Sumit Gupta
- Tim Graening Seibert
- Tomas Grejtak
- Uvinduni Premadasa
- Vera Bocharova
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

A novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.