Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- 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 (138)
- User Facilities (28)
Researcher
- Alex Plotkowski
- Amit Shyam
- Srikanth Yoginath
- Chad Steed
- Daniel Jacobson
- James A Haynes
- James J Nutaro
- Junghoon Chae
- Peeyush Nandwana
- Pratishtha Shukla
- Sudip Seal
- Sumit Bahl
- Travis Humble
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Annetta Burger
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Debraj De
- Gautam Malviya Thakur
- Gerry Knapp
- Harper Jordan
- James Gaboardi
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Kevin Sparks
- Liz McBride
- Nance Ericson
- Nicholas Richter
- Pablo Moriano Salazar
- Rangasayee Kannan
- Ryan Dehoff
- Samudra Dasgupta
- Sunyong Kwon
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- Xiuling Nie
- Ying Yang
- Yiyu Wang

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.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.