Self-organizing magnetic beads for biomedical applications - Markus Gusenbauer; Alexander Kovacs; Franz Reichel; Lukas Exl; Simon Bance; Harald Oezelt; Thomas Schrefl (CoRR, 2011)

A tunable cancer cell filter using magnetic beads: cellular and fluid dynamic simulations - Markus Gusenbauer; Ivan Cimrák; Simon Bance; Lukas Exl; Franz Reichel; Harald Oezelt; Thomas Schrefl (CoRR, 2011)

Modelling and simulation of processes in microfluidic devices for biomedical applications. - Ivan Cimrák; Markus Gusenbauer; Thomas Schrefl (Comput. Math. Appl., 2012)

Fast stray field computation on tensor grids. - Lukas Exl; Winfried Auzinger; Simon Bance; Markus Gusenbauer; Franz Reichel; Thomas Schrefl (J. Comput. Phys., 2012)

Simulation of magnetic active polymers for versatile microfluidic devices - Markus Gusenbauer; Harald Özelt; Johann Fischbacher; Franz Reichel; Lukas Exl; Simon Bance; Nadezhda Kataeva; Claudia Binder; Hubert Brückl; Thomas Schrefl (CoRR, 2013)

Guided self-assembly of magnetic beads for biomedical applications - Markus Gusenbauer; Ha Nguyen; Franz Reichel; Lukas Exl; Simon Bance; Johann Fischbacher; Harald Özelt; Alexander Kovacs; Martin Brandl; Thomas Schrefl (CoRR, 2013)

An ESPResSo implementation of elastic objects immersed in a fluid. - Ivan Cimrák; Markus Gusenbauer; Iveta Jancigová (Comput. Phys. Commun., 2014)

Mesh-Based Modeling of Individual Cells and Their Dynamics in Biological Fluids. - Ivan Cimrák; Iveta Jancigová; Renáta Tóthová; Markus Gusenbauer (Applications of Computational Intelligence in Biomedical Technology, 2015)

Sensing the blood cell damage in a magnetically actuated circular pump. - Markus Gusenbauer; Giulia Mazza; Martin Brandl; Thomas Schrefl (IEEE SENSORS, 2017)

Extracting local switching fields in permanent magnets using machine learning. - Markus Gusenbauer; Harald Oezelt; Johann Fischbacher; Alexander Kovacs; Panpan Zhao; Thomas George Woodcock; Thomas Schrefl (CoRR, 2019)

Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization. - Lukas Exl; Johann Fischbacher; Alexander Kovacs; Harald Oezelt; Markus Gusenbauer; Thomas Schrefl (Comput. Phys. Commun., 2019)

Conditional physics informed neural networks. - Alexander Kovacs; Lukas Exl; Alexander Kornell; Johann Fischbacher; Markus Hovorka; Markus Gusenbauer; Leoni Breth; Harald Oezelt; Masao Yano; Noritsugu Sakuma; Akihito Kinoshita; Tetsuya Shoji; et al. (Commun. Nonlinear Sci. Numer. Simul., 2022)