Michael Kaliske

According to our database, Michael Kaliske authored at least 16 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Assessment of LV structural remodelling by the application of the finite element method to 3D echocardiography data.

Yongjae Lee, Baris Cansiz, Krunoslav Michael Sveric, Axel Linke, Michael Kaliske

Comput. methods Biomech. Biomed. Eng. Imaging Vis., December, 2024

A comparative study of fully implicit staggered and monolithic solution methods. Part II: Coupled excitation-contraction equations of cardiac electromechanics.

Baris Cansiz, Michael Kaliske

J. Comput. Appl. Math., May, 2024

Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs.

Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel

CoRR, 2024

Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations.

Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel

CoRR, 2024

2023

Fast and Reliable Reduced-Order Models for Cardiac Electrophysiology.

Sridhar Chellappa, Baris Cansiz, Lihong Feng, Peter Benner, Michael Kaliske

CoRR, 2023

Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains.

Ali Harandi, Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei

CoRR, 2023

2022

A comparative study of fully implicit staggered and monolithic solution methods. Part I: Coupled bidomain equations of cardiac electrophysiology.

Baris Cansiz, Michael Kaliske

J. Comput. Appl. Math., 2022

2021

Robustness versus Performance - Nested Inherence of Objectives in Optimization with Polymorphic Uncertain Parameters.

F. Niklas Schietzold, Ferenc Leichsenring, Marco Götz, Wolfgang Graf, Michael Kaliske

Adv. Eng. Softw., 2021

ELSA: An efficient, adaptive Ensemble Learning-based Sampling Approach.

Maria Böttcher, Alexander Fuchs, Ferenc Leichsenring, Wolfgang Graf, Michael Kaliske

Adv. Eng. Softw., 2021

2018

Artificial Neural Networks Based Friction Law for Elastomeric Materials Applied in Finite Element Sliding Contact Simulations.

Aleksandra Serafinska, Wolfgang Graf, Michael Kaliske

Complex., 2018

Computing permissible design spaces under consideration of functional responses.

Wolfgang Graf, Marco Götz, Michael Kaliske

Adv. Eng. Softw., 2018

2016

Spiking response model for uniaxial carbon concrete experimental data.

Ferenc Leichsenring, Wolfgang Graf, Michael Kaliske

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Computational Intelligence for Efficient Numerical Design of Structures with Uncertain Parameters.

Wolfgang Graf, Marco Götz, Ferenc Leichsenring, Michael Kaliske

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2012

Structural Analysis with Fuzzy Data and Neural Network Based Material Description.

Wolfgang Graf, Steffen Freitag, Jan-Uwe Sickert, Michael Kaliske

Comput. Aided Civ. Infrastructure Eng., 2012

2011

Recurrent neural networks for fuzzy data.

Steffen Freitag, Wolfgang Graf, Michael Kaliske

Integr. Comput. Aided Eng., 2011

2010

Recurrent Neural Networks for Uncertain Time-Dependent Structural Behavior.

Wolfgang Graf, Steffen Freitag, Michael Kaliske, Jan-Uwe Sickert

Comput. Aided Civ. Infrastructure Eng., 2010