A review of phase-field models, fundamentals and their applications to composite laminates

TQ Bui, X Hu - Engineering Fracture Mechanics, 2021 - Elsevier
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 …

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 …

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 …

Deep learning for plasticity and thermo-viscoplasticity

DW Abueidda, S Koric, NA Sobh, H Sehitoglu - International Journal of …, 2021 - Elsevier
Predicting history-dependent materials' responses is crucial, as path-dependent behavior
appears while characterizing or geometrically designing many materials (eg, metallic and …

Topology optimization of 2D structures with nonlinearities using deep learning

DW Abueidda, S Koric, NA Sobh - Computers & Structures, 2020 - Elsevier
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 …

Large eddy simulation of aircraft at affordable cost: a milestone in computational fluid dynamics

KA Goc, O Lehmkuhl, GI Park, ST Bose, P Moin - Flow, 2021 - cambridge.org
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 …

[HTML][HTML] Intelligent layout design of curvilinearly stiffened panels via deep learning-based method

P Hao, D Liu, K Zhang, Y Yuan, B Wang, G Li… - Materials & Design, 2021 - Elsevier
The structural efficiency of stiffened panels can be significantly improved by utilizing
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

A Quintanas-Corominas, A Turon, J Reinoso… - Computer Methods in …, 2020 - Elsevier
The progressive damage analysis of fiber-reinforced composite materials is a challenging
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 …

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

PC Africa, R Piersanti, F Regazzoni, M Bucelli… - BMC …, 2023 - Springer
Background Simulating the cardiac function requires the numerical solution of multi-physics
and multi-scale mathematical models. This underscores the need for streamlined, accurate …