Results 151 to 160 of about 151,377 (290)
Seismic Design of Concrete Dams: An Integrated Risk‐Informed Performance‐Based (RIPB) Framework
ABSTRACT This paper advances the integration of risk‐informed principles into the seismic design of dams—a domain long guided by standards‐based, largely deterministic approaches. While performance‐based earthquake engineering is well established for buildings and bridges, its systematic adoption in dam engineering remains limited. We first address two
M. Amin Hariri‐Ardebili, Larry K. Nuss
wiley +1 more source
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault +6 more
wiley +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Seismic anisotropy and mantle deformation: What have we learned from shear wave splitting?
M. Savage
semanticscholar +1 more source
This review explores current strategies for shaping two‐dimensional transition metal dichalcogenides (TMDs) beyond their planar form. It highlights how strain engineering, nanopatterning, and growth on complex substrates modulate their mechanical, optical, and electronic properties.
C. Grazianetti +6 more
wiley +1 more source
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang +7 more
wiley +1 more source
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
ABSTRACT This study presents large deformation computational methods to simulate lateral vehicular impacts on steel piles in granular soil. Soil‐mounted longitudinal barrier systems rely on energy dissipation in both the piles and the surrounding soil to safely redirect errant vehicles, so dynamic pile‐soil interaction is important for design ...
Tewodros Y. Yosef +6 more
wiley +1 more source
GraphReco: Probabilistic Structure Recognition for Chemical Molecules
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang +2 more
wiley +1 more source
Investigating the source of acoustic anisotropy in the Asmari Formation, a fractured carbonate reservoir, using a well in the Southwest Iran. [PDF]
Yarmohammadi S +4 more
europepmc +1 more source

