News Article, April 10, 2023 • Sandia Researcher Rekha Rao Accurately capturing solidification of fluids and the development of residual stress is critical for fully predictive simulations for numerous applications in geoscience, nuclear safety, manufacturing, energy production, and bioscience. Researchers on this LDRD project developed, implemented, and demonstrated advanced constitutive models with yield stress to represent...
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Fin-ion tunable transistor for ultra-low power computing
News Article, June 7, 2023 • Work on this project revealed fundamental principles of electrochemical random access memory and established a viable path toward its integration with complementary metal-oxide semiconductor. Data-heavy workflows such as AI require in to increase system efficiency. Work on this memory computing, so this LDRD team focused on creating analog resistive nonvolatile...
Improving predictive capability in REHEDS simulations with fast, accurate, and consistent nonequilibrium material properties
News Article, June 22, 2023 • Sandia scientist Stephanie Hansen was elected Fellow of the American Physical Society by its Division of Plasma Physics. (Photo by Randy Montoya) Predictive design of experiments in Radiation, Electrical, and High Energy Density Science (REHEDS) requires knowledge of material properties (e.g., equations of state (EOS), transport coefficients, and radiation physics). Interpreting...
Materials science researcher is Sandia’s first outbound Faculty Loan joint appointee
News Article, June 22, 2023 • Jonathan Pegues, a researcher in Sandia’s Coatings & Additive Manufacturing department, was approved to be the first formally approved Sandia outbound Faculty Loan joint appointee. Pegues’ joint appointment is an agreement between Sandia and Auburn University’s (AU) National Center for Additive Manufacturing Excellence (NCAME). The NCAME is a collaborative effort...
Optimizing machine learning decisions with prediction uncertainty
News Article, May 9, 2023 • Digital background depicting innovative technologies in (AI) artificial systems, neural interfaces and internet machine learning technologies While ML classifiers are widespread, output is often not part of a follow-on decision-making process because of lack of uncertainty quantification. Through this project, the team developed decision analysis methods that combined uncertainty estimates...
Predicting catastrophic failure and collapse in infrastructure
News Article, March 20, 2023 • The team, led by Sandia principal investigator Jessica Rimsza, developed new modeling capabilities for evaluating multiphase phenomena in cement-based materials in energy and infrastructure applications, a chemo-mechanical model for cement fracture, identified sources of uncertainty in cement degradation and concrete fracture, and created six new capabilities for modeling brittle fracture...
Releasing, detecting, and modeling trace aerosols and gases in Earth’s stratosphere
News Article, May 1, 2023 • Proposed actions to reduce ever-increasing global temperatures include geoengineering the Earth’s climate by injecting matter into the stratosphere to reflect sunlight. This proposition, known as Solar Radiation Management, is based on global climate model studies averaged in space and time and Plinian-style volcanic eruptions observations from near-single points. By increasing...
Researchers develop a tantalizing method to study cyberdeterrence
News Article, November 27, 2023 • TANTALUS — The online game simulates how success or failure is within a player’s reach. Experimental war gaming provides insightful data for real-world cyberattacks In Greek mythology, Tantalus was the king of Sipylus who so angered Zeus with his treachery that his punishment was to go thirsty and hungry while...
Revealing the kinetics of atmospheric corrosion damage through in-situ x-ray computed tomography and machine vision
News Article, June 8, 2023 • In-situ XCT enables both the growth rate and morphology (yellow) of pits to be directly characterized in relationship to the evolving electrolyte (blue) and prior stages of pit morphology (black). Atmospheric corrosion is a critical materials degradation problem, yet the ability to predict its kinetics remains elusive. Conventional approaches provide...
Smart materials for highly complex tags with environmental response
News Article, June 22, 2023 • Cover of the Journal of the German Chemical Society Angewandte Chemie International Edition As counterfeiting methods become more sophisticated, countermeasures must be developed at the same pace. In this Sandia LDRD project, unique exemplars of next generation anticounterfeiting optical tags were developed that leverage the luminescent properties of materials for...
Stress intensity thresholds for development of reliable brittle materials
News Article, June 22, 2023 • Cover of the Journal of the American Ceramic Society Brittle material failure can appear random and unpredictable at subcritical stresses. A fundamental understanding of how structural and environmental factors impact fracture propagation is necessary to predict fracture in these systems. Through this project, a physics-based model of glass fracture was...
Understanding molecular-scale effects on fracture can inform resource extraction and help maintain the nation’s infrastructure
News Article, June 8, 2023 • Three images show liquid nanoindentation setup, the indentation site, and water inside the crack tip in a molecular dynamics simulation. Subcritical fracture controls deformation and permeability of rocks and degradation of manmade materials. To further understand the chemical mechanisms controlling subcritical fracture, this three-year project created nanomechanical and continuum-scale mechanics...
Understanding the effects of radiation on reconfigurable phase change materials
News Article, June 22, 2023 • David Adams was elected Fellow and President of American Vacuum Society: Science and Technology of Materials, Interfaces and Processing in 2023. Chalcogenide thin films that undergo reversible phase changes show promise for next-generation nanophotonics, metasurfaces, and other emerging technologies. This general class of thin films can be switched rapidly between...
Using nonlocal interface problem allows for 7x speedup in large-scale simulations
News Article, May 9, 2023 • Multimaterial problems exist in mission applications such as mechanics and subsurface transport. To capture effects arising from long-range forces at the microscale and mesoscale that aren’t accounted for by classical partial differential equations, the MAThematical foundations for Nonlocal Interface Problems (MATNIP) project team developed a mathematically rigorous interface theory employing...
Wide-bandgap semiconductors benefit from development of single-photo sources in gallium nitride
News Article, June 8, 2023 • Single-photon sources based on atom-like features in solid-state materials offer the prospect for integrated, on-demand solid-state platforms and are being intensively explored for numerous mission-related quantum information technologies. Gallium nitride (GaN) is a very hard, mechanically stable wide-bandgap (WBG) semiconductor that permits devices to operate at much higher voltages, frequencies,...