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
- Ryan Dehoff
- Srikanth Yoginath
- Chad Steed
- Daniel Jacobson
- James J Nutaro
- Junghoon Chae
- Michael Kirka
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Sudip Seal
- Travis Humble
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- Ali Passian
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Annetta Burger
- Blane Fillingim
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Christopher Ledford
- Clay Leach
- David Nuttall
- Debraj De
- Gautam Malviya Thakur
- Harper Jordan
- James Gaboardi
- James Haley
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- Kevin Sparks
- Liz McBride
- Nance Ericson
- Pablo Moriano Salazar
- Patxi Fernandez-Zelaia
- Philip Bingham
- Roger G Miller
- Samudra Dasgupta
- Sarah Graham
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiuling Nie
- Yan-Ru Lin
- Ying Yang
- 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 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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.