A review of phase-field models, fundamentals and their applications to composite laminates
Innovations of advanced materials have been at the core of most engineering technologies,
devices and systems. Composite laminates in particular have been extensively employed in …
devices and systems. Composite laminates in particular have been extensively employed in …
Regional aerosol deposition in the human airways: The SimInhale benchmark case and a critical assessment of in silico methods
P Koullapis, SC Kassinos, J Muela… - European Journal of …, 2018 - Elsevier
Regional deposition effects are important in the pulmonary delivery of drugs intended for the
topical treatment of respiratory ailments. They also play a critical role in the systemic delivery …
topical treatment of respiratory ailments. They also play a critical role in the systemic delivery …
Data-driven and physics-informed deep learning operators for solution of heat conduction equation with parametric heat source
S Koric, DW Abueidda - International Journal of Heat and Mass Transfer, 2023 - Elsevier
Deep neural networks as universal approximators of partial differential equations (PDEs)
have attracted attention in numerous scientific and technical circles with the introduction of …
have attracted attention in numerous scientific and technical circles with the introduction of …
Deep learning for plasticity and thermo-viscoplasticity
Predicting history-dependent materials' responses is crucial, as path-dependent behavior
appears while characterizing or geometrically designing many materials (eg, metallic and …
appears while characterizing or geometrically designing many materials (eg, metallic and …
Topology optimization of 2D structures with nonlinearities using deep learning
The field of optimal design of linear elastic structures has seen many exciting successes that
resulted in new architected materials and structural designs. With the availability of cloud …
resulted in new architected materials and structural designs. With the availability of cloud …
Large eddy simulation of aircraft at affordable cost: a milestone in computational fluid dynamics
While there have been numerous applications of large eddy simulations (LES) to complex
flows, their application to practical engineering configurations, such as full aircraft models …
flows, their application to practical engineering configurations, such as full aircraft models …
[HTML][HTML] Intelligent layout design of curvilinearly stiffened panels via deep learning-based method
The structural efficiency of stiffened panels can be significantly improved by utilizing
curvilinear stiffeners because of their outstanding design flexibility. However, the explosion …
curvilinear stiffeners because of their outstanding design flexibility. However, the explosion …
A phase field approach enhanced with a cohesive zone model for modeling delamination induced by matrix cracking
The progressive damage analysis of fiber-reinforced composite materials is a challenging
task, especially when complicated cracking scenarios arise due to the onset and …
task, especially when complicated cracking scenarios arise due to the onset and …
The landscape of exascale research: A data-driven literature analysis
S Heldens, P Hijma, BV Werkhoven… - ACM Computing …, 2020 - dl.acm.org
The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …
systems capable of at least one quintillion (billion billion) floating-point operations per …
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations
Background Simulating the cardiac function requires the numerical solution of multi-physics
and multi-scale mathematical models. This underscores the need for streamlined, accurate …
and multi-scale mathematical models. This underscores the need for streamlined, accurate …