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
- Chris Tyler
- Adam M Guss
- Justin West
- Ritin Mathews
- Andrzej Nycz
- Chad Steed
- David Olvera Trejo
- J.R. R Matheson
- Jaydeep Karandikar
- Josh Michener
- Junghoon Chae
- Kuntal De
- Scott Smith
- Travis Humble
- Udaya C Kalluri
- Xiaohan Yang
- Akash Jag Prasad
- Alex Walters
- Austin Carroll
- Biruk A Feyissa
- Brian Gibson
- Brian Post
- Calen Kimmell
- Carrie Eckert
- Chris Masuo
- Clay Leach
- Debjani Pal
- Emma Betters
- Gerald Tuskan
- Greg Corson
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jesse Heineman
- Joanna Tannous
- John F Cahill
- John Potter
- Josh B Harbin
- Kyle Davis
- Liangyu Qian
- Paul Abraham
- Samudra Dasgupta
- Serena Chen
- Tony L Schmitz
- Vilmos Kertesz
- Vincent Paquit
- Vladimir Orlyanchik
- Yang Liu

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.

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.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

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

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

In additive manufacturing large stresses are induced in the build plate and part interface. A result of these stresses are deformations in the build plate and final component.