Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate (223)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (135)
- User Facilities (27)
Researcher
- Andrzej Nycz
- Chris Masuo
- Rama K Vasudevan
- Peter Wang
- Sergei V Kalinin
- Yongtao Liu
- Alex Walters
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Brian Gibson
- Joshua Vaughan
- Kyle Kelley
- Luke Meyer
- Udaya C Kalluri
- Viswadeep Lebakula
- William Carter
- Aaron Myers
- Akash Jag Prasad
- Alexandre Sorokine
- Amit Shyam
- Annetta Burger
- Anton Ievlev
- Arpan Biswas
- Brian Post
- Calen Kimmell
- Carter Christopher
- Chance C Brown
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Clinton Stipek
- Daniel Adams
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- Gerd Duscher
- Gordon Robertson
- J.R. R Matheson
- James Gaboardi
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jesse McGaha
- Jessica Moehl
- John Potter
- Justin Cazares
- Kevin Sparks
- Liam Collins
- Liz McBride
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Larson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Philipe Ambrozio Dias
- Riley Wallace
- Ritin Mathews
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Taylor Hauser
- Todd Thomas
- Utkarsh Pratiush
- Vincent Paquit
- Vladimir Orlyanchik
- Xiaohan Yang
- Xiuling Nie

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

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

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.