A new conceptual framework for incorporating the way plants use carbon and water, or plant dynamics, into fine-scale computer models of wildland fire provides a critical first step toward improved global fire forecasting.
Seasonal temperature, moisture loss from plants and wind speed are what primarily drive fires that sweep across the same landscape multiple times, a new study reveals. These findings and others could help land managers plan more effective treatments in areas susceptible to fire, particularly in the fire-ravaged wildland-urban interfaces of California.
A new paper by a team at Los Alamos National Laboratory is giving researchers new insight into how countries respond to systemic shocks such as the COVID-19 pandemic.
The standard view of gamma-ray bursts as a signature for different types of dying stars might need a rewrite. Recent astronomical observations, supported by theoretical modeling, reveal a new observational fingerprint of neutron-star mergers, which may shed light on the production of heavy elements throughout the universe.
An artificial-intelligence approach borrowed from natural-language processing — much like language translation and autofill for text on your smart phone — can predict future fault friction and the next failure time with high resolution in laboratory earthquakes,. The technique, applying AI to the fault’s acoustic signals, advances previous work and goes beyond by predicting aspects of the future state of the fault’s physical system.
A new study in New Mexico’s San Juan Basin will boost efforts to identify and reduce methane emissions, a key element of the Global Methane Pledge. The research team found that using multiple methods to measure the ratio of ethane to methane in the ambient air around fossil energy development regions can be used to attribute emissions to specific polluters.
Rising sea levels from melting glaciers and ice sheets pose an increasing threat to coastal communities worldwide. A new analysis of high-resolution satellite observations takes a major step forward in assessing this risk by confirming theoretical predictions and computational models of sea-level changes used to forecast climate-change-driven impacts.
A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.
Los Alamos National Laboratory is leading a new research consortium funded by the Bipartisan Infrastructure Law to identify and characterize the nation’s hundreds of thousands of undocumented orphaned wells and determine their full environmental impact with a focus on methane emissions, a potent greenhouse gas.
Scientists on NASA’s Perseverance mission made a surprising discovery about the composition of rock in Jezero Crater, one that will help them get a better idea of when water existed on Mars, and ultimately, help them understand if the red planet was ever habitable to microbial life.
Comprehensive data from several seasons of field research in the Alaskan Arctic will address uncertainties in Earth-system and climate-change models about snow cover across the region and its impacts on water and the environment.
Recent research proves that under certain conditions, quantum annealing computers can run algorithms—including the well-known Shor’s algorithm—more quickly than classical computers. In most cases, however, quantum annealing does not provide a speed-up compared to classical computing when time is limited, according to a study in Nature Communications.
A new study corrects an important error in the 3D mathematical space developed by the Nobel Prize–winning physicist Erwin Schrödinger and others and used by scientists and industry for more than 100 years to describe how your eye distinguishes one color from another. The research has the potential to boost scientific data visualizations, improve TVs and recalibrate the textile and paint industries.
At the upcoming Flash Memory Summit in California, Los Alamos National Laboratory and SK hynix, a leading semiconductor innovator and memory/flash manufacturer, will demonstrate the world’s first ordered Key Value Store Computational Storage Device (KV-CSD).
Research drawing on the quantum “anti-butterfly effect” solves a longstanding experimental problem in physics and establishes a method for benchmarking the performance of quantum computers.
New research refining the amount of sunlight absorbed by black carbon in smoke from wildfires will help clear up a long-time weak spot in earth system models, enabling more accurate forecasting of global climate change.
In the push to decarbonize the economy throughout the Intermountain West and beyond, the public conversation often centers on wind and solar energy, electric cars, hydrogen power and carbon capture and storage. The grid—the interconnected power plants, transmission lines and control centers that keep the lights on across the country—is the indispensable enabler of this future carbon-neutral electrified world. Yet the grid is often left out of the discussion. It shouldn’t be.
A new analysis of observed temperatures shows the Arctic is heating up more than four times faster than the rate of global warming. The trend has stepped upward steeply twice in the last 50 years, a finding missed by all but four of 39 climate models.
Luis Chacon of Los Alamos National Laboratory’s Applied Mathematics and Plasma Physics group is the winner of the prestigious Ernest Orlando Lawrence award for 2021.
Zhaowen Tang, of Los Alamos National Laboratory’s Dynamic Imaging and Radiography group, received a prestigious Early Career Research Program funding award from the Department of Energy’s Office of Science. The program, now in its thirteenth year, is designed to bolster the nation’s scientific workforce by providing support to exceptional researchers during crucial early career years, when many scientists do their most formative work.
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