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Researcher
- Diana E Hun
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Alex Walters
- Bryan Maldonado Puente
- Nolan Hayes
- Zoriana Demchuk
- Brian Gibson
- Joshua Vaughan
- Luke Meyer
- Mahabir Bhandari
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Udaya C Kalluri
- Venugopal K Varma
- Viswadeep Lebakula
- William Carter
- Aaron Myers
- Achutha Tamraparni
- Adam Aaron
- Akash Jag Prasad
- Alexandre Sorokine
- Amit Shyam
- Andre O Desjarlais
- Annetta Burger
- Brian Post
- Calen Kimmell
- Carter Christopher
- Catalin Gainaru
- Chance C Brown
- Charles D Ottinger
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Clinton Stipek
- Daniel Adams
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- J.R. R Matheson
- James Gaboardi
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jesse McGaha
- Jessica Moehl
- John Potter
- Justin Cazares
- Karen Cortes Guzman
- Kevin Sparks
- Kuma Sumathipala
- Liz McBride
- Mark M Root
- Matt Larson
- Mengjia Tang
- Natasha Ghezawi
- Philipe Ambrozio Dias
- Riley Wallace
- Ritin Mathews
- Stephen M Killough
- Taylor Hauser
- Todd Thomas
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Vladimir Orlyanchik
- Xiaohan Yang
- Xiuling Nie
- Yifang Liu
- Zhenglai Shen

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

We’ve developed a more cost-effective cable driven robot system for installing prefabricated panelized building envelopes. Traditional cable robots use eight cables, which require extra support structures, making setup complex and expensive.

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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

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.