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
- Srikanth Yoginath
- William Carter
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chad Steed
- Chris Masuo
- Daniel Jacobson
- James J Nutaro
- Junghoon Chae
- Luke Meyer
- Pratishtha Shukla
- Rangasayee Kannan
- Sudip Seal
- Travis Humble
- Adam Stevens
- Alex Walters
- Ali Passian
- Amy Elliott
- Annetta Burger
- Bryan Lim
- Cameron Adkins
- Carter Christopher
- Chance C Brown
- Debraj De
- Erin Webb
- Evin Carter
- Gautam Malviya Thakur
- Harper Jordan
- Isha Bhandari
- James Gaboardi
- Jeremy Malmstead
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- Joshua Vaughan
- Kevin Sparks
- Kitty K Mccracken
- Liam White
- Liz McBride
- Michael Borish
- Nance Ericson
- Oluwafemi Oyedeji
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Tyler Smith
- Varisara Tansakul
- William Peter
- Xianhui Zhao
- 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 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 use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.