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
- Srikanth Yoginath
- James J Nutaro
- Pratishtha Shukla
- Sudip Seal
- Viswadeep Lebakula
- Aaron Myers
- Alexandre Sorokine
- Ali Passian
- Annetta Burger
- Carter Christopher
- Chance C Brown
- Clinton Stipek
- Daniel Adams
- Debangshu Mukherjee
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- Harper Jordan
- James Gaboardi
- Jesse McGaha
- Jessica Moehl
- Joel Asiamah
- Joel Dawson
- Josh Michener
- Justin Cazares
- Kevin Sparks
- Liangyu Qian
- Liz McBride
- Matt Larson
- Md Inzamam Ul Haque
- Nance Ericson
- Olga S Ovchinnikova
- Pablo Moriano Salazar
- Philipe Ambrozio Dias
- Serena Chen
- Taylor Hauser
- Todd Thomas
- Varisara Tansakul
- Xiuling Nie

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

We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.

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.

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.

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

MAPSTER is a lightweight software package that automatically searches deployed laptops for geospatial data and complies metadata (GPS coordinates, file size, etc) at a central checkpoint.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.