Results 31 to 40 of about 1,563 (194)
Engineering Applications of Computational Fluid MechanicsThe exploration of deep learning methodologies has recently generated significant interest in the use of Physics-Informed Neural Networks (PINNs) to address complex physical problems governed by partial differential equations (PDEs).
Xin Qi +4 more
doaj +1 more source
General tooth boundary conditions for equation free modeling
, 2007 © 2007 Society for Industrial and Applied MathematicsWe are developing a framework for multiscale computation which enables models at a "microscopic" level of description, for example, lattice Boltzmann, Monte Carlo, or molecular dynamics simulators, to ...
Kevrekidis, I. +3 more
core +1 more source
Advanced Functional Materials, EarlyView.Terminal groups on Cu porphyrins modulate the electronic states of single‐atom Cu centers through a long‐range electronic effect, without altering the Cu coordination geometry. Meanwhile, a multi‐descriptor framework is established that incorporates porphyrin regulation, hybrid catalyst properties, and CO2 photoreduction capabilities.
Yi Zhang +13 more
wiley +1 more source
Advanced Materials, EarlyView.Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Modified Fourier expansions: theory, construction and applications
, 2010 Modified Fourier expansions present an alternative to more standard algorithms for the approximation of nonperiodic functions in bounded domains. This thesis addresses the theory of such expansions, their effective construction and computation, and ...
core +1 more source
Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning
Advanced Optical Materials, EarlyView.Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam +2 more
wiley +1 more source
General tooth boundary conditions for equation free modelling [PDF]
, 2006 [Abstract]: We are developing a framework for multiscale computation which enables models at a 'microscopic' level of description, for example Lattice Boltzmann, Monte Carlo or Molecular Dynamics simulators, to perform modelling tasks at 'macroscopic ...
Roberts, A. J., Kevrekidis, I. G.
core
Free boundary problems for mixed-species biofilms: modelling and simulation [PDF]
, 2021 This dissertation proposes a modelling study on biofilms, with a special interest in phototrophic biofilms, one of the most promising innovative biological technologies in the field of wastewater treatment.
Tenore, Alberto
core
Biodegradable Zn‐Based Implants: Progress, Challenges, and Pathways toward Clinical Translation
Advanced Science, EarlyView.Exploring biodegradable Zn‐based implants offers a promising pathway to next‐generation biomedical devices with balanced degradation and biocompatibility. A comprehensive overview of biodegradable Zn‐based implants, covering their biological significance, material design principles, and advanced engineering strategies is provided.
Panfeng Zhao +10 more
wiley +1 more source