Results 121 to 130 of about 81,957 (247)
Strong Stability Preserving Two-Derivative Two-Step Runge-Kutta Methods
In this study, we introduce the explicit strong stability preserving (SSP) two-derivative two-step Runge-Kutta (TDTSRK) methods. We propose the order conditions using Albrecht’s approach, comparing to the order conditions expressed in terms of rooted ...
Xueyu Qin, Zhenhua Jiang, Chao Yan
doaj +1 more source
ABSTRACT This work presents novel structure‐preserving formulations for stable model order reduction in the context of time‐domain room acoustics simulations. A solution to address the instability in conventional model order reduction formulations based on the Linearized Euler Equations is derived and validated through numerical experiments.
Satish Bonthu +4 more
wiley +1 more source
PLA and strontium‐substituted hydroxyapatite filaments were used in 3D printing to fabricate a trabecular‐inspired scaffold. The scaffold was functionalized with a polydopamine coating. Characterization revealed enhanced surface properties and mechanical performance, supporting its potential application in bone tissue engineering.
Adones Almeida Rocha +4 more
wiley +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Rib‐Reinforced Ultralight and Ultra‐Strong Shell Lattices
This study thoroughly reveals the relation between the curvature and stress direction of triply periodic minimal surface (TPMS) thin shell lattices and proposes a novel rib reinforcement design strategy to incorporate ribs along the line of asymptotes (LOA) and the line of principal curvatures (LOC) to enhance the strength of ultralight TPMS shell ...
Winston Wai Shing Ma +6 more
wiley +1 more source
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta +2 more
wiley +1 more source
Simulation Study on Effects of Order and Step Size of Runge-Kutta Methods that Solve Contagious Disease and Tumor Models. [PDF]
Wang Z, Wang Q, Klinke DJ.
europepmc +1 more source
Considered physical model and effect of Nuav(τ = 0.1) for Re and ϕ at τ = 0.1. ABSTRACT Although open cavity configurations are common in modern electronic and solar applications, limited attention has been given to thick‐walled hollow cavity designs, particularly in the context of comprehensive sensitivity analysis.
Murad Hossen +5 more
wiley +1 more source
Modeling Airborne Influenza in Three Dimensions
A novel 3D fluid dynamics model demonstrates how influenza outbreaks spread spatially via “epidemic flow.” Simulations reveal that direct contact is the dominant transmission route over aerosol spread, offering a new tool to inform targeted public health interventions and spatially‐aware risk assessment.
Daniel Ugochukwu Nnaji +4 more
wiley +1 more source
Entropy Generation Analysis due to Permeable Exponential Stretching in Boundary Layer Flows
ABSTRACT Entropy generation represents the irreversible loss of useful energy in thermal–fluid systems, directly reducing efficiency in applications, such as microelectronics cooling, nanofluid‐based heat exchangers, and polymer processing. This study investigates entropy generation in a two‐phase viscoelastic nanofluid flow over a permeable ...
Khodani Sherrif Tshivhi +1 more
wiley +1 more source

