(Mu)3ST

University of Ioannina
Department of Materials Science and Engineering (DMSE)

MultidisciplinaryMultiscaleMultiphysicsSimulation Team

Study of porous, composite, polymeric and magnetic materials in basic and applied research. Mathematical modeling of wave scattering and wave propagation in materials and materials with microstructure, assisted by numerical implementations with special functions, finite elements among others for applications in biomaterials but also in the general context of composite materials. Modeling and simulation of gradient elasticity problems with applications in biomedical technology. Modeling of composites, electronic materials and integrated devices for power generation.

Molecular modeling using Molecular Dynamics and Monte Carlo simulations of porous materials. Coarse grained Molecular and Brownian dynamics simulations for polymeric materials and for the self-assembly of polymers. Numerical simulation of micromagnetic problems with finite elements and finite differences for nanomagnetic materials with applications in information storage, magnetic sensors and medicine.

In the framework of basic research, we develop problem solving methodologies-procedures for classical boundary value problems. Study of stochastic differential equations for applications related to inverse problems.

Current scientific interests and research projects

Numerical modeling of magnetic materials and magnetic skyrmions

Figure: Numerical modeling of magnetic materials and magnetic skyrmions

Modeling microporous materials: From molecular simulations (MD, MC) to Artificial Neural Networks

Figure: Modeling microporous materials: From molecular simulations (MD, MC) to Artificial Neural Networks

Stochastic methods for the solution of direct and inverse exterior elliptic problems

Figure: Stochastic methods for the solution of direct and inverse exterior elliptic problems

Modeling percolation phenomena

Figure: Modeling percolation phenomena

Study of thermoelectric properties using Density Functional Theory

Figure: Study of thermoelectric properties using Density Functional Theory

Multiscale modeling of fiber reinforced composite materials

Figure: Multiscale modeling of fiber reinforced composite materialsFigure: Multiscale modeling of fiber reinforced composite materials

Thermal image processing: classification-identification of defects on photovoltaic panels

Figure: Thermal image processing: classification-identification of defects on photovoltaic panelsFigure: Thermal image processing: classification-identification of defects on photovoltaic panels

Non-destructive testing of composite materials using image processing and IR-thermography

Figure: Non-destructive testing of composite materials using image processing and IR-thermographyFigure: Non-destructive testing of composite materials using image processing and IR-thermography

Finite elements and neural networks modeling of thermoelectric devices

Figure: Finite elements and neural networks modeling of thermoelectric devicesFigure: Finite elements and neural networks modeling of thermoelectric devices

Biomaterials modeling

Figure: Biomaterials modeling

Analytical and numerical modeling of acoustic scattering

Figure: Analytical and numerical modeling of acoustic scatteringFigure: Analytical and numerical modeling of acoustic scattering