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
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Erdem Asa
- Shajjad Chowdhury
- Burak Ozpineci
- Emrullah Aydin
- Jon Wilkins
- Singanallur Venkatakrishnan
- Adam Siekmann
- Amir K Ziabari
- Diana E Hun
- Gui-Jia Su
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Veda Prakash Galigekere
- Vincent Paquit
- Ali Riza Ekti
- Bryan Maldonado Puente
- Corey Cooke
- Gina Accawi
- Gurneesh Jatana
- Hong Wang
- Hyeonsup Lim
- Isabelle Snyder
- Lingxiao Xue
- Mark M Root
- Michael Kirka
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Rafal Wojda
- Ryan Kerekes
- Sally Ghanem

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

Technologies directed to an integrated on-board charger for dual motor based electric vehicle power train are described.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

This invention proposes a Honeycomb-DD coupling structure that addresses the shortcomings of the conventional honeycomb coil array and gathering the advantage of DD and honeycomb designs advantages in a single design.

Wireless charging systems need to operate at high frequency, at or near resonance, to maximize power transfer distance and efficiency. High voltages appear across the inductors and capacitors. The use of discrete components reduces efficiency, increases system complexity.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).