Practical sparse data-driven constitutive modeling via transfer learning in physics-encoded neural networks. [PDF]
Sci RepWang Z, Cudmani R.
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Online Optimizing Control and Dynamic Operation and Design Optimization of a Batch Electrodialysis Process for Sulfuric Acid Recovery. [PDF]
Ind Eng Chem ResLatinis A, Papadopoulos AI, Seferlis P.
europepmc +1 more source
Finite Element Modeling of a Thermoplastic Polyurethane Ball for Rolling Seismic Isolation
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT The Elastomeric‐Ball Pendulum (EBP) system, which consists of an elastomeric ball rolling on a spherical concrete surface, has been proposed as an isolation system for lightweight structures. Experimental tests have shown that the mechanics of such a rolling ball are remarkably complicated because the vertical load changes the shape of the ...
Sergio I. Reyes +2 more
wiley +1 more source
Heat Source Parameter Identification Based on Attention-Enhanced Residual Convolutional Neural Network. [PDF]
Materials (Basel)Jiang H +8 more
europepmc +1 more source
Scour‐Conditioned Seismic Fragility Analysis of Monopile‐Supported Offshore Wind Turbines
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Monopile‐supported offshore wind turbines (MS‐OWTs) are increasingly deployed in seismic coastal regions, where they face compound risks from earthquake loading and seabed scour. While past studies have addressed these hazards separately, seismic fragility under evolving scour conditions remains insufficiently understood. This study introduces
Francisco Pinto +3 more
wiley +1 more source
Deep learning-based framework for time-dependent reliability analysis of a cable-stayed bridge with corroded PSC box girders under gravity loads. [PDF]
Sci RepKim J, Kim J, Kim T.
europepmc +1 more source
Seismic Design of Concrete Dams: An Integrated Risk‐Informed Performance‐Based (RIPB) Framework
Earthquake Engineering &Structural Dynamics, EarlyView.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
A multi-compartment homogenized perfusion model for deforming hierarchical vasculature. [PDF]
Biomech Model MechanobiolHohl J +4 more
europepmc +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley +1 more source