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
- Sheng Dai
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Zhenzhen Yang
- Craig A Bridges
- Shannon M Mahurin
- Daniel Jacobson
- Edgar Lara-Curzio
- Ilja Popovs
- Li-Qi Qiu
- Saurabh Prakash Pethe
- Tolga Aytug
- Uday Vaidya
- Viswadeep Lebakula
- Ahmed Hassen
- Alexandre Sorokine
- Alexei P Sokolov
- Anees Alnajjar
- Annetta Burger
- Ben Lamm
- Beth L Armstrong
- Bruce Moyer
- Carter Christopher
- Chance C Brown
- Clinton Stipek
- Daniel Adams
- Debraj De
- Eric Wolfe
- Eve Tsybina
- Frederic Vautard
- Gautam Malviya Thakur
- James Gaboardi
- Jayanthi Kumar
- Jesse McGaha
- Jessica Moehl
- Kaustubh Mungale
- Kevin Sparks
- Liz McBride
- Meghan Lamm
- Nageswara Rao
- Nidia Gallego
- Philipe Ambrozio Dias
- Phillip Halstenberg
- Santa Jansone-Popova
- Shajjad Chowdhury
- Subhamay Pramanik
- Tao Hong
- Taylor Hauser
- Todd Thomas
- Tomonori Saito
- Vlastimil Kunc
- Xiuling Nie

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.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.