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
- Yong Chae Lim
- Daniel Jacobson
- Rangasayee Kannan
- Zhili Feng
- Adam Stevens
- Andrew F May
- Annetta Burger
- Ben Garrison
- Brad Johnson
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debraj De
- Gautam Malviya Thakur
- Hsin Wang
- James Gaboardi
- James Klett
- Jesse McGaha
- Jian Chen
- Jiheon Jun
- John Lindahl
- Kevin Sparks
- Liz McBride
- Mike Zach
- Nedim Cinbiz
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Tony Beard
- Wei Zhang
- William Peter
- Xiuling Nie
- Yiyu Wang
- Yukinori Yamamoto

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

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 system and method of needling of veiled AS4 fabric tape.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

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.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.