In a partnership just reaching two years, Sandia and Cerebras Systems have unveiled a cluster composed of four Cerebras CS-3...
Physicists from Sandia worked with a team of researchers at Google Quantum AI and other affiliated institutions over the last...
Sandia’s Jennifer Gaudioso testified before Congress on how scientists at U.S. national laboratories are poised to elevate artificial intelligence to...
Ten national laboratories, including Sandia, shared one of the largest booths at the AI Expo for National Competitiveness from May...
Sandia National Laboratories has announced a new project with NVIDIA to pursue critical research and development of memory technologies. This...
Sandia National Laboratories and DataDirect Networks (DDN) have partnered over the last 3.5+ years to design a next generation parallel...
Sandia National Laboratories, leading a tri-lab consortium with Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL), announces...
Sandia National Laboratories has announced a partnership with AI and neuromorphic computing company, SpiNNcloud. Leveraging a next generation system, SpiNNaker2, this...
A multidisciplinary team has combined measurements in the Amazon forest with experimental and theoretical kinetics to show the role of...
Experimental war gaming provides insightful data for real-world cyberattacks In Greek mythology, Tantalus was the king of Sipylus who so...
The major challenge with using algae as a feedstock is growing it economically, which hinges strongly on the ability to...
Brittle material failure can appear random and unpredictable at subcritical stresses. A fundamental understanding of how structural and environmental factors...
As counterfeiting methods become more sophisticated, countermeasures must be developed at the same pace. In this Sandia LDRD project, unique...
Jonathan Pegues, a researcher in Sandia’s Coatings & Additive Manufacturing department, was approved to be the first formally approved Sandia...
The development of equations-of-state and transport models in areas such as shock compression and fusion energy science is critical to...
Predictive design of experiments in Radiation, Electrical, and High Energy Density Science (REHEDS) requires knowledge of material properties (e.g., equations...
Chalcogenide thin films that undergo reversible phase changes show promise for next-generation nanophotonics, metasurfaces, and other emerging technologies. This general...
Atmospheric corrosion is a critical materials degradation problem, yet the ability to predict its kinetics remains elusive. Conventional approaches provide...
Gallium nitride (GaN) is a very hard, mechanically stable wide-bandgap (WBG) semiconductor that permits devices to operate at much higher...
Subcritical fracture controls deformation and permeability of rocks and degradation of manmade materials. To further understand the chemical mechanisms controlling...
Novel material and device concepts previously took years for iteration. Discoveries in this LDRD project will now allow them to...
Underfilling is a widely used manufacturing process that helps stabilize and reinforce solder joints in electronic parts. However, heterogeneously integrated...
Data-heavy workflows such as AI require in to increase system efficiency. Work on this memory computing, so this LDRD team...
An integrated data science and experimental approach is being taken to the challenges of direct capture of CO2 from the...
Representation of soil organic carbon (SOC) dynamics in Earth system models (ESM) is a key source of uncertainty in predicting...
While ML classifiers are widespread, output is often not part of a follow-on decision-making process because of lack of uncertainty...
Multiscale materials modeling fundamental insight into microscopic mechanisms that determine materials properties in nuclear stockpile applications that leverage radiation harden...
Multimaterial problems exist in mission applications such as mechanics and subsurface transport. To capture effects arising from long-range forces at...
Proposed actions to reduce ever-increasing global temperatures include geoengineering the Earth’s climate by injecting matter into the stratosphere to reflect...
Accurately capturing solidification of fluids and the development of residual stress is critical for fully predictive simulations for numerous applications...
Computer aided design (CAD) to simulation workflows for nuclear deterrence (ND) have shown dramatic performance improvements with ML. This work...
Predicting explosive performance at length scales near the minimum needed for a detonation to propagate is often a challenge—surrounding materials,...
The team, led by Sandia principal investigator Jessica Rimsza, developed new modeling capabilities for evaluating multiphase phenomena in cement-based materials...
Low density plasmas are predicted to impact Sandia’s Z machine experiments in a variety of ways. Magnetic Resonance Tomography instability...
Ryan Davis, a principal member of Sandia’s technical staff in Bioresource and Environmental Security, and his team developed a high-quality...
The Intrinsic Control for Genome and Transcriptome Editing in Communities (InCoGenTEC) project team, exploiting the CRISPR-associated (CRISPR-Cas) system in bacteria,...
Catherine Mageeney, a senior member of Sandia’s technical staff in bioengineering and biotechnology, has expertise in phage biology and genetics...
Electrothermal instability (ETI) is driven by Joule heating and arises from the dependence of resistivity on temperature. When a metal is...
Many polymer liquids flow easily when stretched gently but become viscous and solid-like when stretched rapidly. This phenomenon, known as strain...
Try this thought experiment: imagine a small measurable quantity of something—perhaps a grain of sand or a point of light—then...
Sandia visualization experts are working with climate scientists to visualize complex simulation results from the Energy Exascale Earth System Model...