Results 131 to 140 of about 35,710 (245)
Abstract The paucity of in situ meso‐scale permeability measurements within subduction zones makes it difficult to fully characterize hydrologic processes and conditions that influence fault zone behavior. In the Hikurangi subduction zone, where large shallow slow slips are observed, there are outstanding questions about the hydrologic influence splay ...
Roberto D. Clairmont, Patrick M. Fulton
wiley +1 more source
Abstract Geologic CO2 ${\text{CO}}_{2}$ storage is an important strategy for reducing greenhouse gas emissions to the atmosphere and mitigating climate change. In this process, coupling between mechanical deformation and fluid flow in fault zones is a key determinant of fault instability, induced seismicity, and CO2 ${\text{CO}}_{2}$ leakage.
Hannah Lu +3 more
wiley +1 more source
Searching for Universality of Turbulence in the Earth's Magnetosphere
Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
wiley +1 more source
Abstract Millimeter‐level active control of track geometry irregularity (TGI) is crucial for intelligent maintenance of high‐speed railways. To address the efficiency limitations of existing time‐domain characteristics‐dominated TGI maintenance scheme design methods and vehicle–track coupled dynamics evaluation models, this paper proposes a new ...
Huakun Sun +6 more
wiley +1 more source
Abstract This study introduces a novel optimization framework based on the differentiable material point method (DiffMPM) for the identification of structural and loading parameters from dynamic structural monitoring data. Structural health monitoring (SHM) methodologies are often challenged by the need to interpret limited and noisy measurements for ...
Jeffrey Cheng +2 more
wiley +1 more source
Exact Dirichlet boundary multi‐resolution hash encoding solver for structures
Abstract Designed to address computationally expensive scientific problems, physics‐informed neural networks (PINNs) have primarily focused on solving issues involving relatively simple geometric shapes. Drawing inspiration from exact Dirichlet boundary PINN and neural representation field, this study first develops a multi‐resolution hash encoding ...
Xiaoge Tian, Jiaji Wang, Xinzheng Lu
wiley +1 more source
ABSTRACT We present sufficient conditions to obtain a generalized (φ,D)$$ \left(\varphi, \mathfrak{D}\right) $$‐pullback attractor for evolution processes on time‐dependent phase spaces, where φ$$ \varphi $$ is a given decay function and D$$ \mathfrak{D} $$ is a given universe.
Matheus Cheque Bortolan +3 more
wiley +1 more source
Least‐Squares Projected Models for Non‐Intrusive Affinization of Reduced Basis Methods
ABSTRACT Reduced‐basis methods (RBMs) constitute a promising technique for delivering numerical solutions of parameterized PDEs in real time and with reasonable accuracy. The most significant drawback of RBMs is the requirement of parametric affinity, a condition that only very trivial problems satisfy.
E. Fonn +6 more
wiley +1 more source
Hyper-Differential Sensitivity Analysis of Inverse Problems Governed by PDEs.
Isaac Sunseri +3 more
semanticscholar +1 more source

