Batch preparation and characterization of electrospun porous polylactic acid-based nanofiber membranes for antibacterial wound dressing

J Yin, L Xu, A Ahmed - Advanced Fiber Materials, 2022 - Springer
A good wound dressing needs to promote wound healing and tissue repair when the skin is
injured. In this study, a self-made spherical section free surface electrospinning device was …

A Bayesian estimation method for variational phase-field fracture problems

A Khodadadian, N Noii, M Parvizi… - Computational …, 2020 - Springer
In this work, we propose a parameter estimation framework for fracture propagation
problems. The fracture problem is described by a phase-field method. Parameter estimation …

Bayesian inversion for unified ductile phase-field fracture

N Noii, A Khodadadian, J Ulloa, F Aldakheel… - Computational …, 2021 - Springer
The prediction of crack initiation and propagation in ductile failure processes are
challenging tasks for the design and fabrication of metallic materials and structures on a …

A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters

S Mirsian, A Khodadadian, M Hedayati… - Biosensors and …, 2019 - Elsevier
In this work, a modification procedure for the functionalization of silicon nanowire (SiNW) is
applied in biological field effect transistor (BioFET) system. The proposed method precedes …

Bayesian inversion for anisotropic hydraulic phase-field fracture

N Noii, A Khodadadian, T Wick - Computer Methods in Applied Mechanics …, 2021 - Elsevier
In this work, we employ a Bayesian inversion framework to fluid-filled phase-field fracture.
We develop a robust and efficient numerical algorithm for hydraulic phase-field fracture …

Numerical analysis of fully discrete energy stable weak Galerkin finite element Scheme for a coupled Cahn-Hilliard-Navier-Stokes phase-field model

M Dehghan, Z Gharibi - Applied Mathematics and Computation, 2021 - Elsevier
Abstract The Cahn-Hilliard phase-field model of two-phase incompressible flows, namely
the Cahn-Hilliard-Navier-Stokes (CH-NS) problem represents the fundamental building …

Theoretical framework and inference for fitting extreme data through the modified Weibull distribution in a first-failure censored progressive approach

MS Eliwa, LA Al-Essa, AM Abou-Senna… - Heliyon, 2024 - cell.com
The importance of biomedical physical data is underscored by its crucial role in advancing
our comprehension of human health, unraveling the mechanisms underlying diseases, and …

Rational design of field-effect sensors using partial differential equations, Bayesian inversion, and artificial neural networks

A Khodadadian, M Parvizi, M Teshnehlab, C Heitzinger - Sensors, 2022 - mdpi.com
Silicon nanowire field-effect transistors are promising devices used to detect minute
amounts of different biological species. We introduce the theoretical and computational …

An adaptive multilevel Monte Carlo algorithm for the stochastic drift–diffusion–Poisson system

A Khodadadian, M Parvizi, C Heitzinger - Computer Methods in Applied …, 2020 - Elsevier
We present an adaptive multilevel Monte Carlo algorithm for solving the stochastic drift–
diffusion–Poisson system with non-zero recombination rate. The a-posteriori error is …

A divergence-free generalized moving least squares approximation with its application

V Mohammadi, M Dehghan - Applied Numerical Mathematics, 2021 - Elsevier
An approximation based on moving least squares for vector-valued functions satisfying the
divergence-free property was employed in [67] by Trask, Maxey, and Hu. They changed the …