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)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
- (-) Information Technology Services Directorate (2)
Researcher
- Adam M Guss
- Ali Riza Ekti
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Josh Michener
- Kuntal De
- Raymond Borges Hink
- Sam Hollifield
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Aaron Werth
- Aaron Wilson
- Alex Walters
- Austin Carroll
- Brian Sanders
- Burak Ozpineci
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Elizabeth Piersall
- Emilio Piesciorovsky
- Emrullah Aydin
- Gary Hahn
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Isabelle Snyder
- Isaiah Dishner
- Jason Jarnagin
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Joseph Olatt
- Kevin Spakes
- Kunal Mondal
- Kyle Davis
- Liangyu Qian
- Lilian V Swann
- Mahim Mathur
- Mark Provo II
- Mingyan Li
- Mostak Mohammad
- Nandhini Ashok
- Nils Stenvig
- Omer Onar
- Oscar Martinez
- Ozgur Alaca
- Paul Abraham
- Peter L Fuhr
- Rob Root
- Serena Chen
- Vincent Paquit
- Yang Liu
- Yarom Polsky
- 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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.

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.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.