Results 101 to 110 of about 560,268 (250)

Textile Metamaterials: Design, Fabrication, and Emerging Applications

open access: yesApplied Research, Volume 5, Issue 5, October 2026.
Textile metamaterials combine sub‐wavelength electromagnetic structures with textile architectures, enabling flexible and wearable platforms for wave manipulation. This review highlights their evolution, fabrication strategies, electromagnetic characteristics, and emerging applications, while identifying key challenges and opportunities for next ...
Samanta M. de Holanda   +8 more
wiley   +1 more source

One-dimensional physical reference models for the upper mantle and transition zone: combining seismic and mineral physics constraints [PDF]

open access: yes
One-dimensional seismic reference models are known to be a nonunique solution to global seismic data, hampering an interpretation in terms of physical structure. Here we test the compatibility of the simplest hypothesis of a mantle convecting as a whole,
Giardini, D.   +3 more
core   +1 more source

Seismic Performance and Vibration‐Based Damage Identification of Two‐Storey Balloon‐Framed CLT Shear Walls

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3052-3073, 10 October 2026.
ABSTRACT While cross‐laminated timber (CLT) is increasingly utilized in lateral force‐resisting systems in mass timber construction, research has predominantly focused on platform‐type construction. Balloon‐type CLT shear wall systems offer distinct structural advantages, notably the elimination of cumulative perpendicular‐to‐grain compression and a ...
Samira Mohammadyzadeh   +3 more
wiley   +1 more source

Estimating the critical angle of top near‐surface layers on the Moon

open access: yesNear Surface Geophysics, Volume 24, Issue 5, Page 693-704, October 2026.
Abstract Near‐surface characterization of the lunar subsurface is essential for future exploration and infrastructure development, particularly for the construction of underground habitats that provide protection against radiation and micrometeorites. However, conventional seismic approaches for estimating subsurface properties typically rely on prior ...
Nelson Ricardo Coelho Flores Zuniga   +1 more
wiley   +1 more source

Simulator‐Based Bayesian Inference of Enhanced Geothermal Reservoir Properties

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Inversions of dynamic multi‐scale multi‐physics subsurface system properties rely on the effective sampling of high‐dimensional parameter spaces and are thus notoriously difficult to perform. The associated models are defined by complex nonlinear relationships with potentially stochastic components, which lead to analytically intractable ...
Kwabena Atobra   +5 more
wiley   +1 more source

Dimensionality Reduction Techniques for Analyzing Tsunami Simulations in Hazard Assessment and Forecasting Applications

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract A wide selection of linear and non‐linear dimensionality reduction techniques is evaluated on synthetic tsunami data that is the basis for tsunami hazard assessment and computational forecasting. The data were computed from earthquake rupture forecasts (ERFs) supplying initial generation conditions and a linear long‐wave Green's function ...
Eric L. Geist, Tom Parsons
wiley   +1 more source

Joint seismic/electrical effective medium modelling of hydrate-bearing marine sediments and an application to the Vancouver Island margin [PDF]

open access: yes, 2008
Remote determination of the hydrate content of marine sediments remains a challenging problem.In the absence of boreholes, the most commonly used approach involves the measurement of Pwavevelocities from seismic experiments.
Best, A.I.   +3 more
core   +1 more source

Physics‐Constrained Variational Autoencoder for Uncertainty Quantification of Full Waveform Inversion

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements.
Abdelrahman Elmeliegy   +4 more
wiley   +1 more source

Physics‐Informed Reservoir Characterization From Bulk and Extreme Pressure Events With a Differentiable Simulator

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Accurate characterization of subsurface heterogeneity is challenging but essential for applications such as reservoir pressure management, geothermal energy extraction and CO2 ${\text{CO}}_{2}$, H2 ${\mathrm{H}}_{2}$, and wastewater injection operations.
Harun Ur Rashid   +4 more
wiley   +1 more source

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