Tiny movements in Earth’s outermost layer may provide a Rosetta Stone for deciphering the physics and warning signs of big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes in the growing mountain of seismic data.
A new fault simulator maps out how interactions between pressure, friction and fluids rising through a fault zone can lead to slow-motion quakes and seismic swarms.
Engineers at Stanford have used X-ray CT scans, more common in hospital labs, to study how wood catches fire. They’ve now turned that knowledge into a computer simulation to predict where fires will strike and spread.
A new model offers a way to predict the condition of a battery’s internal systems in real-time with far more accuracy than existing tools. In electric cars, the technology could improve driving range estimates and prolong battery life.
Using a new algorithm, Stanford researchers have reconstructed the movements of individual particles of light to see through clouds, fog and other obstructions.
Researchers have invented a way to slide atomically-thin layers of 2D materials over one another to store more data, in less space and using less energy.
Researchers have created a device that can integrate and interact with neuron-like cells. This could be an early step toward an artificial synapse for use in brain-computer interfaces.
After analyzing 95 million traffic stop records, filed by officers with 21 state patrol agencies and 35 municipal police forces from 2011 to 2018, researchers concluded that “police stops and search decisions suffer from persistent racial bias.”
Biologist Erin Mordecai discusses different social distancing strategies, how long we may need to maintain them and the risk of a disease resurgence if precautions are lifted too early.
