Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
Researcher
- Vivek Sujan
- Adam M Guss
- Omer Onar
- Adam Siekmann
- Alexey Serov
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Erdem Asa
- Jaswinder Sharma
- Josh Michener
- Kuntal De
- Subho Mukherjee
- Udaya C Kalluri
- Vilmos Kertesz
- Xiang Lyu
- Xiaohan Yang
- Alex Walters
- Amit K Naskar
- Austin Carroll
- Beth L Armstrong
- Brian Sanders
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Gabriel Veith
- Georgios Polyzos
- Gerald Tuskan
- Holly Humphrey
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Isabelle Snyder
- Isaiah Dishner
- James Szybist
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Kyle Davis
- Liangyu Qian
- Logan Kearney
- Marm Dixit
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nandhini Ashok
- Nihal Kanbargi
- Paul Abraham
- Ritu Sahore
- Serena Chen
- Shajjad Chowdhury
- Todd Toops
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz

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.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called