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
- Yaosuo Xue
- Aaron Werth
- Alexander I Wiechert
- Ali Passian
- Costas Tsouris
- Debangshu Mukherjee
- Emilio Piesciorovsky
- Fei Wang
- Gary Hahn
- Gs Jung
- Gyoung Gug Jang
- Harper Jordan
- Jason Jarnagin
- Joel Asiamah
- Joel Dawson
- Mark Provo II
- Md Inzamam Ul Haque
- Nance Ericson
- Olga S Ovchinnikova
- Phani Ratna Vanamali Marthi
- Radu Custelcean
- Rafal Wojda
- Raymond Borges Hink
- Rob Root
- Sreenivasa Jaldanki
- Srikanth Yoginath
- Suman Debnath
- Sunil Subedi
- Varisara Tansakul
- Yarom Polsky
- Yonghao Gui

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

Multi-terminal DC (MTdc) systems based on high-voltage DC (HVDC) transmission technology is an upcoming concept. In such systems, either asymmetric monopole or bi-pole systems are generally employed. Such systems are not suitable for easy expansion.

Stability performance of interconnected power grids plays crucial roles on their secure operation to prevent cascading failure and blackout.

Technologies directed to a multi-port autonomous reconfigurable solar power plant are described.

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