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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.

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Since the discovery of high-temperature superconductors — materials that can transport electricity with perfect efficiency at or near liquid nitrogen temperatures (minus-196 degrees Celsius) — scientists have been working to develop a theory that explains their essential physics.
In pure water, lignin adopts a globular conformation (left) that aggregates on cellulose and blocks enzymes. In a THF-water cosolvent, lignin adopts coil conformations that are easier to remove during pretreatment. (ORNL image)
Breaking down cellulosic biomass for biofuel is a costly and complex process, requiring lots of acid, water, and heat. Experimental pretreatments, however, hold the promise of driving down these costs by making more biomass available to enzymes for fermentation. To gain a better...