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ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.

ORNL has modeled the spike protein that binds the novel coronavirus to a human cell for better understanding of the dynamics of COVID-19. Credit: Stephan Irle/ORNL, U.S. Dept. of Energy

To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.

The TRITON model provides a detailed visualization of the flooding that resulted when Hurricane Harvey stalled over Houston for four days in 2017. Credit: Mario Morales-Hernández/ORNL, U.S. Dept. of Energy

A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.

VA_healthcare_dataset
Oak Ridge National Laboratory has partnered with the Department of Veterans Affairs to develop methods and algorithms to mine the VA’s health data more efficiently. The resulting novel, secure platform promises to improve the health and wellbeing of millions of veterans through better understanding of underlying causes of diseases and conditions, hereditary factors and health history.
ORNL_iESM_model

A new integrated computational model reduces uncertainty in climate predictions by bridging Earth systems with energy and economic models and large-scale human impact data. Co-developed by Oak Ridge National Laboratory, the novel integrated Earth system model, or iESM, leverages the power of supercomputers, including ORNL’s Titan, to couple biospheric feedbacks from oceans, atmosphere and land with human activity, such as fossil fuel emissions, agriculture and land use.

Computing_Quantum_deep

In a first for deep learning, an Oak Ridge National Laboratory-led team is bringing together quantum, high-performance and neuromorphic computing architectures to address complex issues that, if resolved, could clear the way for more flexible, efficient technologies in intelligent computing.

An ORNL report provides best practices for electric utilities using drones to monitor transmission systems.
Electric utilities seeking to enhance worker safety and system reliability by using drones to inspect their transmission systems can look to a new report by Oak Ridge National Laboratory researchers to help guide their efforts. The report by ORNL’s Unmanned Aerial Systems Research Ce...
 ORNL scientists studied ways to enhance the proposed memory cell performance and minimize access times and energies, yielding a novel cryogenic, or low-temperature, design that may resolve a memory storage bottleneck.
Scientists at Oak Ridge National Laboratory have proposed a novel cryogenic, or low-temperature, memory cell circuit design that may resolve a memory storage bottleneck, accelerating the pathway to exascale and quantum computing. The proposed design converges write, read and reset ...