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
- Adam M Guss
- Michael Kirka
- Ryan Dehoff
- Vincent Paquit
- Rangasayee Kannan
- Adam Stevens
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Christopher Ledford
- Clay Leach
- Josh Michener
- Kuntal De
- Peeyush Nandwana
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Akash Jag Prasad
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Austin Carroll
- Beth L Armstrong
- Brian Post
- Brian Sanders
- Calen Kimmell
- Canhai Lai
- Chris Masuo
- Chris Tyler
- Corson Cramer
- Costas Tsouris
- Daniel Jacobson
- Debjani Pal
- Fred List III
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- James Haley
- James Klett
- James Parks II
- Jaydeep Karandikar
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Keith Carver
- Kyle Davis
- Liangyu Qian
- Nandhini Ashok
- Patxi Fernandez-Zelaia
- Paul Abraham
- Philip Bingham
- Richard Howard
- Roger G Miller
- Sarah Graham
- Serena Chen
- Singanallur Venkatakrishnan
- Steve Bullock
- Sudarsanam Babu
- Thomas Butcher
- Trevor Aguirre
- Vladimir Orlyanchik
- William Peter
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

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

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.

This technology can activate gene expression in a time- and dose-dependent manner in the thermophilic bacterium Clostridium thermocellum. This system will mediate inducible gene expression for strain engineering in C.

The technologies described provides for the upcycling of mixed plastics to muonic acid and 3-hydroxyacids.