Filter Results
Related Organization
- 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)
- (-) Biological and Environmental Systems Science Directorate (23)
Researcher
- Adam M Guss
- Yong Chae Lim
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Josh Michener
- Kuntal De
- Rangasayee Kannan
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Adam Stevens
- Alexander I Wiechert
- Alex Roschli
- Alex Walters
- Austin Carroll
- Benjamin Manard
- Brian Post
- Brian Sanders
- Bryan Lim
- Charles F Weber
- Chris Masuo
- Clay Leach
- Costas Tsouris
- Daniel Jacobson
- Debjani Pal
- Derek Dwyer
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Jiheon Jun
- Joanna Mcfarlane
- Joanna Tannous
- John F Cahill
- Jonathan Willocks
- Kitty K Mccracken
- Kyle Davis
- Liangyu Qian
- Louise G Evans
- Matt Vick
- Mengdawn Cheng
- Nandhini Ashok
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Priyanshi Agrawal
- Richard L. Reed
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Serena Chen
- Soydan Ozcan
- Sudarsanam Babu
- Tomas Grejtak
- Tyler Smith
- Vandana Rallabandi
- Vincent Paquit
- William Peter
- Xianhui Zhao
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

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.

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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

Pyrolysis evolved gas analysis – mass spectrometry (EGA-MS) and pyrolysis gas chromatography – MS (GC-MS) – are powerful analytical tools for polymer characterization.

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.