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
- Srikanth Yoginath
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- James J Nutaro
- Josh Michener
- Kuntal De
- Pratishtha Shukla
- Sudip Seal
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alexander I Wiechert
- Alex Roschli
- Alex Walters
- Ali Passian
- Austin Carroll
- Benjamin Manard
- 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
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Joanna Mcfarlane
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Jonathan Willocks
- Kitty K Mccracken
- Kyle Davis
- Liangyu Qian
- Louise G Evans
- Matt Vick
- Mengdawn Cheng
- Nance Ericson
- Nandhini Ashok
- Oluwafemi Oyedeji
- Pablo Moriano Salazar
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Rangasayee Kannan
- Richard L. Reed
- Serena Chen
- Soydan Ozcan
- Tomas Grejtak
- Tyler Smith
- Vandana Rallabandi
- Varisara Tansakul
- Vincent Paquit
- Xianhui Zhao
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.