output
20132026
most citedThe STRANDS Project: Long-Term Autonomy in Everyday Environments

197 citations

Showing 2019Show all

7 papers · 1 filter

physics.comp-ph2019★ 36 cited

Extracting local switching fields in permanent magnets using machine learning

Markus Gusenbauer, Harald Oezelt, Johann Fischbacher +4

Microstructural features play an important role for the quality of permanent magnets. The coercivity is greatly influenced by crystallographic defects, which is well known for MnAl…

physics.comp-ph2019★ 9 cited

Learning time-stepping by nonlinear dimensionality reduction to predict magnetization dynamics

Lukas Exl, Norbert J. Mauser, Thomas Schrefl +1

We establish a time-stepping learning algorithm and apply it to predict the solution of the partial differential equation of motion in micromagnetism as a dynamical system dependin…

cond-mat.mtrl-sci2019★ 4 cited

Computational Design of the Rare-Earth Reduced Permanent Magnets

A. Kovacs, J. Fischbacher, M. Gusenbauer +6

Multiscale simulation is a key research tool for the quest for new permanent magnets. Starting with first principles methods, a sequence of simulation methods can be applied to cal…

cond-mat.mtrl-sci2019★ 110 cited

Micromagnetics of rare-earth efficient permanent magnets

Johann Fischbacher, Alexander Kovacs, Markus Gusenbauer +4

The development of permanent magnets containing less or no rare-earth elements is linked to profound knowledge of the coercivity mechanism. Prerequisites for a promising permanent…

cond-mat.mtrl-sci2019★ 22 cited

Learning magnetization dynamics

Alexander Kovacs, Johann Fischbacher, Harald Oezelt +5

Deep neural networks are used to model the magnetization dynamics in magnetic thin film elements. The magnetic states of a thin film element can be represented in a low dimensional…

cond-mat.mtrl-sci2019★ 3 cited

The influence of antiphase boundary of the MnAl -phase on the energy product

S. Arapan, P. Nieves, S. Cuesta-López +6

In this work we use a multiscale approach toward a realistic design of a permanent magnet based on MnAl -phase and elucidate how the antiphase boundary defects present in this m…

cond-mat.mtrl-sci2019★ 64 cited

Database of novel magnetic materials for high-performance permanent magnet development

P. Nieves, S. Arapan, J. Maudes +16

This paper describes the open Novamag database that has been developed for the design of novel Rare-Earth free/lean permanent magnets. The database software technologies, its frien…