Lukas Exl

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 12

Top Topics

Poisson Equation

Energy Minimization

Conjugate Gradient Method

Top Venues

Comput. Phys. Commun.

J. Comput. Phys.

Commun. Nonlinear Sci. Numer. Simul.

Publications

Sebastian Schaffer, Lukas Exl
Constraint free physics-informed machine learning for micromagnetic energy minimization. Comput. Phys. Commun. 300 (2024)
Alexander Kovacs, Lukas Exl, Alexander Kornell, Johann Fischbacher, Markus Hovorka, Markus Gusenbauer, Leoni Breth, Harald Oezelt, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Thomas Schrefl
Conditional physics informed neural networks. Commun. Nonlinear Sci. Numer. Simul. 104 (2022)
Lukas Exl, Norbert J. Mauser, Sebastian Schaffer, Thomas Schrefl, Dieter Suess
Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method. J. Comput. Phys. 444 (2021)
Alexander Kovacs, Lukas Exl, Alexander Kornell, Johann Fischbacher, Markus Hovorka, Markus Gusenbauer, Leoni Breth, Harald Oezelt, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Thomas Schrefl
Conditional physics informed neural networks. CoRR (2021)
Lukas Exl, Norbert J. Mauser, Thomas Schrefl, Dieter Suess
Learning time-stepping by nonlinear dimensionality reduction to predict magnetization dynamics. Commun. Nonlinear Sci. Numer. Simul. 84 (2020)
Carl-Martin Pfeiler, Michele Ruggeri, Bernhard Stiftner, Lukas Exl, Matthias Hochsteger, Gino Hrkac, Joachim Schöberl, Norbert J. Mauser, Dirk Praetorius
Computational micromagnetics with Commics. Comput. Phys. Commun. 248 (2020)
Lukas Exl, Norbert J. Mauser, Sebastian Schaffer, Thomas Schrefl, Dieter Suess
Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method. CoRR (2020)
Jan-Frederik Mennemann, Tim Langen, Lukas Exl, Norbert J. Mauser
Optimal control of the self-bound dipolar droplet formation process. Comput. Phys. Commun. 244 (2019)
Lukas Exl, Johann Fischbacher, Alexander Kovacs, Harald Oezelt, Markus Gusenbauer, Thomas Schrefl
Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization. Comput. Phys. Commun. 235 (2019)
Lukas Exl, Norbert J. Mauser, Thomas Schrefl, Dieter Suess
The extrapolated explicit midpoint scheme for variable order and step size controlled integration of the Landau-Lifschitz-Gilbert equation. J. Comput. Phys. 346 (2017)
Lukas Exl
A GPU accelerated and error-controlled solver for the unbounded Poisson equation in three dimensions. Comput. Phys. Commun. 221 (2017)
Lukas Exl, Norbert J. Mauser, Yong Zhang
Accurate and efficient computation of nonlocal potentials based on Gaussian-sum approximation. J. Comput. Phys. 327 (2016)
Lukas Exl, Thomas Schrefl
Non-uniform FFT for the finite element computation of the micromagnetic scalar potential. J. Comput. Phys. 270 (2014)
Markus Gusenbauer, Ha Nguyen, Franz Reichel, Lukas Exl, Simon Bance, Johann Fischbacher, Harald Özelt, Alexander Kovacs, Martin Brandl, Thomas Schrefl
Guided self-assembly of magnetic beads for biomedical applications CoRR (2013)
Markus Gusenbauer, Harald Özelt, Johann Fischbacher, Franz Reichel, Lukas Exl, Simon Bance, Nadezhda Kataeva, Claudia Binder, Hubert Brückl, Thomas Schrefl
Simulation of magnetic active polymers for versatile microfluidic devices CoRR (2013)
Lukas Exl, Winfried Auzinger, Simon Bance, Markus Gusenbauer, Franz Reichel, Thomas Schrefl
Fast stray field computation on tensor grids. J. Comput. Phys. 231 (7) (2012)
Markus Gusenbauer, Ivan Cimrák, Simon Bance, Lukas Exl, Franz Reichel, Harald Oezelt, Thomas Schrefl
A tunable cancer cell filter using magnetic beads: cellular and fluid dynamic simulations CoRR (2011)
Markus Gusenbauer, Alexander Kovacs, Franz Reichel, Lukas Exl, Simon Bance, Harald Oezelt, Thomas Schrefl
Self-organizing magnetic beads for biomedical applications CoRR (2011)