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

197 citations

Showing 2021Show all

5 papers · 1 filter

cs.LG2021

Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts

Md Siddiqur Rahman, Laurent Lapasset, Josiane Mothe

An aircraft conflict occurs when two or more aircraft cross at a certain distance at the same time. Specific air traffic controllers are assigned to solve such conflicts. A control…

physics.comp-ph2021★ 10 cited

Proposal for a micromagnetic standard problem: domain wall pinning at phase boundaries

Paul Heistracher, Claas Abert, Florian Bruckner +2

We propose a novel micromagnetic standard problem calculating the coercive field for unpinning a domain wall at the interface of a multiphase magnet. This problem is sensitive to d…

cond-mat.mtrl-sci2021★ 73 cited

Magnetostatics and micromagnetics with physics informed neural networks

Alexander Kovacs, Lukas Exl, Alexander Kornell +8

Partial differential equations and variational problems can be solved with physics informed neural networks (PINNs). The unknown field is approximated with neural networks. Minimiz…

cs.LG2021★ 58 cited

Conditional physics informed neural networks

Alexander Kovacs, Lukas Exl, Alexander Kornell +11

We introduce conditional PINNs (physics informed neural networks) for estimating the solution of classes of eigenvalue problems. The concept of PINNs is expanded to learn not only…

physics.comp-ph2021★ 11 cited

Machine learning methods for the prediction of micromagnetic magnetization dynamics

Sebastian Schaffer, Norbert J. Mauser, Thomas Schrefl +2

Machine learning (ML) entered the field of computational micromagnetics only recently. The main objective of these new approaches is the automatization of solutions of parameter-de…