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High-speed experiments improve hypersonic flight predictions

DOE/Sandia National Laboratories

Sandia National Laboratories aerospace engineer Katya Casper has characterized the vibrational effect of the pressure field beneath a tiny hypersonic turbulent spots. The pressure field is key to understanding how intermittent turbulent spots shake an aircraft flying at Mach 5 or greater. Simply put, being able to characterize and predict these pressure spots leads to better vehicle design.

Data mining digs up hidden clues to major California earthquake triggers

DOE/Los Alamos National Laboratory
Peer-Reviewed Publication

A powerful computational study of southern California seismic records has revealed detailed information about a plethora of previously undetected small earthquakes, giving a more precise picture about stress in the earth's crust.

Journal: Science

Future hypersonics could be artificially intelligent

DOE/Sandia National Laboratories
Business Announcement

Sandia announced today the formation of Autonomy New Mexico, a national academic research coalition whose mission is to create artificially intelligent aerospace systems.

New model accurately predicts harmful space weather

DOE/Los Alamos National Laboratory
Peer-Reviewed Publication

A new, first-of-its-kind space weather model reliably predicts space storms of high-energy particles that are harmful to many satellites and spacecraft orbiting in the Earth's outer radiation belt.

Journal: Space Weather

Scientific computing in the cloud gets down to Earth

DOE/Los Alamos National Laboratory
Business Announcement

In a groundbreaking effort, seismology researchers have conducted a continent-scale survey for seismic signatures of industrial activity in the Amazon Web Services commercial cloud (AWS), then rapidly downloaded the results without storing raw data or needing a local supercomputer.

Fields of Gold

DOE/Sandia National Laboratories

Sandia National Laboratories ecologist Jennifer Payne is one of two Certified Ecological Restoration Practitioners in New Mexico, a title held by only 150 people in the country. With an eye for vegetation, she helps protect lands and upholds labs commitments to protecting the environment.

Mirage software automates design of optical metamaterials

DOE/Sandia National Laboratories
Business Announcement

Sandia National Laboratories has created the first inverse design software for optical metamaterials -- meaning users start by describing the result they want, and the software fills in the steps to get there. The modern design approach takes guesswork out of engineering as-yet theoretical technologies like ultracompact, high-performance cameras and cloaking armor that could make wearers invisible to detection.

Lighting the way to removing radioactive elements

DOE/Los Alamos National Laboratory

An unassuming pulse of light illuminates a possible way to separate a troubling element, americium, from a soup of similar elements. The diverse team at the Center for Actinide Science & Technology Energy Frontier Research Center is finding fast, efficient, safe ways to separate compounds.

New reactor-liner alloy material offers strength, resilience

DOE/Los Alamos National Laboratory
Peer-Reviewed Publication

A new tungsten-based alloy developed at Los Alamos National Laboratory can withstand unprecedented amounts of radiation without damage. Essential for extreme irradiation environments such as the interiors of magnetic fusion reactors, previously explored materials have thus far been hobbled by weakness against fracture, but this new alloy seems to defeat that problem.

Journal: Science Advances
Funder: DOE/US Department of Energy, Laboratory Directed Research and Development program of Los Alamos National Laboratory, G. T. Seaborg Institute

Sandia spiking tool improves artificially intelligent devices

DOE/Sandia National Laboratories
Peer-Reviewed Publication

The aptly named software package Whetstone enables neural computer networks to process information up to 100 times more efficiently than current standards, making possible an increased use of artificial intelligence in mobile phones, self-driving cars, and image interpretation.

Journal: Nature Machine Intelligence
Funder: US Department of Energy's Advanced Simulation and Computing program

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