Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures

N Noii, A Khodadadian, F Aldakheel - Computer Methods in Applied …, 2022 - Elsevier
A probabilistic approach to phase-field brittle and ductile fracture with random material and
geometric properties is proposed within this work. In the macroscopic failure mechanics …

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 …

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 …

A multilevel Monte Carlo finite element method for the stochastic Cahn–Hilliard–Cook equation

A Khodadadian, M Parvizi, M Abbaszadeh… - Computational …, 2019 - Springer
In this paper, we employ the multilevel Monte Carlo finite element method to solve the
stochastic Cahn–Hilliard–Cook equation. The Ciarlet–Raviart mixed finite element method is …

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 …

Bayesian inversion for nanowire field-effect sensors

A Khodadadian, B Stadlbauer, C Heitzinger - Journal of Computational …, 2020 - Springer
Nanowire field-effect sensors have recently been developed for label-free detection of
biomolecules. In this work, we introduce a computational technique based on Bayesian …

Optimal design of nanowire field-effect troponin sensors

A Khodadadian, K Hosseini… - Computers in biology …, 2017 - Elsevier
We propose a design strategy for affinity-based biosensors using nanowires for sensing and
measuring biomarker concentration in biological samples. Such sensors have been shown …

Optimal multilevel randomized quasi-Monte-Carlo method for the stochastic drift–diffusion-Poisson system

A Khodadadian, L Taghizadeh, C Heitzinger - Computer Methods in …, 2018 - Elsevier
In this paper, an optimal multilevel randomized quasi-Monte-Carlo method to solve the
stationary stochastic drift–diffusion-Poisson system is developed. We calculate the optimal …

Three-dimensional optimal multi-level Monte–Carlo approximation of the stochastic drift–diffusion–Poisson system in nanoscale devices

A Khodadadian, L Taghizadeh, C Heitzinger - Journal of Computational …, 2018 - Springer
The three-dimensional stochastic drift–diffusion–Poisson system is used to model charge
transport through nanoscale devices in a random environment. Applications include …

Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensors

B Stadlbauer, A Cossettini, D Pasterk… - Journal of …, 2019 - Elsevier
Massively parallel nanosensor arrays fabricated with low-cost CMOS technology represent
powerful platforms for biosensing in the Internet-of-Things (IoT) and Internet-of-Health (IoH) …