Results 181 to 190 of about 99,796 (273)

Homogenization With Guaranteed Bounds via Primal‐Dual Physically Informed Neural Networks

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.
ABSTRACT Physics‐informed neural networks (PINNs) have shown promise in solving partial differential equations (PDEs) relevant to multiscale modeling, but they often fail when applied to materials with discontinuous coefficients, such as media with piecewise constant properties. This paper introduces a dual formulation for the PINN framework to improve
Liya Gaynutdinova   +3 more
wiley   +1 more source

Algebraic Multigrid Based Preconditioning Approaches for Generalized Continuum Models and Indirect Displacement Control Techniques

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.
ABSTRACT The contribution deals with algebraic multigrid (AMG) based preconditioning methods for the iterative solution of a coupled linear system of equations arising in numerical simulations of failure of quasi‐brittle materials using generalized continuum approaches.
Nasser Alkmim   +4 more
wiley   +1 more source

A Southern Ocean Multidecadal Oscillator Forced by Deep Convection

open access: yesGeophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Some climate models exhibit multidecadal‐to‐centennial variability of the Southern Ocean (SO) associated with open‐ocean polynyas and deep convection. We characterize the SO variability of the Community Earth System Model (version 1) under preindustrial conditions run with two different ocean resolutions, low‐resolution (∼1°) and high ...
Robert R. Ford, Brian E. J. Rose
wiley   +1 more source

Using Network Observations to Constrain CO and CO2 Emissions From an Oil Refinery in the San Francisco Bay Area

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract Point sources are often major contributors of greenhouse gas and air pollutant emissions in urban areas. Dense air monitoring networks provide a unique avenue for studying point source emissions over long time periods. Here, we use the Berkeley Environmental Air‐quality and CO2 Network (BEACO2N) to study CO2 and air pollutant emissions from an
Milan Y. Patel   +4 more
wiley   +1 more source

Distinguishing Between the Short‐Term Climate Responses to Different Stratospheric Aerosol Injection Latitudes With Explainable Artificial Intelligence

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract Stratospheric aerosol injection (SAI), whereby reflective particles are released into the stratosphere to induce cooling, is one possible tool to counteract global warming and its associated risks. However, there is much uncertainty surrounding how SAI would be deployed, as well as the potential of novel and unknown risks and impacts.
Cameron Dong   +2 more
wiley   +1 more source

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