Los Alamos Press Highlights

 

Los Alamos scientist describes Antarctica Meteor Hunt: Mind blown in 60 seconds

There are plenty of attempts at making science accessible. Researchers have tried to use simple words, interpretive dance, or really cool videos to explain complex scientific concepts. This new one might have all of those beat, at least when it comes to speed.

Los Alamos National Laboratory has unveiled a video where they challenged staff scientist Nina Lanza of LANL’s Space and Remote Sensing group describe her upcoming trip to Antarctica to hunt for meteorites in just 60 seconds. (Full story)

Also see it on YouTube

 Sinha discusses acoustics for energy, national security challenges

    

Laboratory fellow Dipen Sinha of discusses acoustics and its applications, including how it is possible to use sound to solve problems in health, national security and industry, in a Santa Fe Radio Cafe interview.

“I take advantage of the nature of sound waves and often manipulate these waves to solve technically challenging problems related to energy and national security,” Sinha said. “How an object vibrates also tells a lot about it. (Full story) 

Science of Sound on the LANL YouTube Channel

 

LANL receives second Presidential Award

The award team, LANL photo.

In recognition of their proactive commitment to protecting the environment of Northern New Mexico from the potential impacts of a changing climate, a consortium of Los Alamos National Laboratory’s federal and contractor staff received the GreenGov Presidential Award Nov. 30.

“We recognized the need for a different approach after a devastating wildfire and a series of impactful environmental events,” said Michael Brandt, associate director for the Laboratory’s Environment, Safety and Health directorate. (Full story)

A cloud-free satellite map of Earth

A cloud-free view of vegetation patterns across
the world, from Descartes

Descartes Labs was founded to commercialize image-recognition software developed for satellite and aerial imagery at Los Alamos National Laboratory. The software has been trained to identify features of Earth’s surface such as agriculture, water features, and types of forest by comparing annotated maps from sources like the U.S. Geological Survey with color, infrared, and ultraviolet satellite imagery. (Full story)

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