@misc{7120, abstract = {Current simulation workflows overwhelmingly rely on idealized or implicit microstructures, which prevents true side‑by‑side comparison with experiments and slows methodological progress. Directly simulating experimentally identical samples—using atomistic and continuum models—is a critical yet largely unrealized step toward predictive, microstructure‑aware materials discovery. In this work, we introduce MultiBEST, a unified GUI‑based framework that constructs experimentally faithful atomistic and continuum models directly from 2D micrographs, EBSD data, or simple user sketches. The resulting continuum representations explicitly resolve grain boundaries as crystallography‑aware volumetric interfaces with distinct properties, enabling multiscale modelling that approaches atomistic‑level fidelity. MultiBEST delivers an end‑to‑end pipeline—from image processing to final model export—with tunable computational cost, from rapid prototyping to large‑scale simulations.}, author = {Jamebozorgi, Vahid and Quisbrok, Robin and Nasari, Amirbahador and Schröder, Christian}, keywords = {Atomistic simulation, EBSD, Mesh generation, Finite element methods, Image processing, Digital-twin, Multiscale modeling}, publisher = {Vahid Jamebozorgi, self-published}, title = {{MultiBEST – Multiscale/Multiphase Bridging Experiment and Simulation Toolkit}}, year = {2026}, } @misc{7119, abstract = {Material discovery using traditional experimental methods is a slow and costly process, often limited by the sampling process, characterization condition constraints, and the requirement for expensive equipment. While computational tools have transformed materials research by accelerating the investigation of material properties, a significant gap remains in connecting high-fidelity simulations with established experimental characterization techniques. Virtual Characterization Lab (VCL), a unified, open-source toolkit designed to bridge this gap. The VCL streamlines pre- and post-processing workflows—primarily designed for, but not limited to, molecular dynamics (MD) simulations. It enables researchers to analyze crystallography and generate essential characterization data, including X-ray Diffraction (XRD), Selected Area Electron Diffraction (SAED), Vibrational Density of States (VDOS), and Infrared (IR) spectra, all within a single, intuitive graphical user interface (GUI). By integrating every step from initial structure preparation to final data visualization, the VCL accelerates materials discovery by making virtual characterization more efficient, accessible, and directly comparable to experimental results.}, author = {Jamebozorgi, Vahid and Quisbrok, Robin and Schröder, Christian}, keywords = {Atomistic simulation, Defects, XRD, TEM, Vibrational analysis, Virtual material characterization}, publisher = {Vahid Jamebozorgi, self-published}, title = {{Virtual Characterization Lab Toolkit}}, year = {2026}, } @inproceedings{6357, author = {Hannebohm, Philip and Bachmann, Bernhard}, booktitle = {Proceedings of the 16th International Modelica&FMI Conference}, editor = {Zimmer, Dirk and Müller, Ulf Christian}, keywords = {Equation-based modelling, Multi-rate simulation, Structural analysis}, location = {Lucerne}, pages = {943–947}, publisher = {Linköping University Electronic Press}, title = {{Selective Evaluation of RHS during Multi-Rate Simulation}}, doi = {10.3384/ecp218943}, volume = {218}, year = {2025}, } @article{2855, author = {Vollenkemper, Lukas and Mönikes, Marvin and Wortmann, Florian and Rudolph-Puls, Melanie and Kohlhase, Martin and Röchter, Angelika and Ewering, Christian}, journal = {Arbeitswelt.Plus Working Paper}, keywords = {Produktionsplanung Assistenzsysteme Simulation}, publisher = {it's OWL Clustermanagement GmbH}, title = {{HUMANZENTRIERTE PRODUKTIONSPLANUNG MIT KI - Entwicklung eines Assistenzsystems}}, doi = {10.55594/UXIT4205}, year = {2023}, } @article{2333, author = {Blachowicz, Tomasz and Steblinski, Pawel and Ehrmann, Andrea}, issn = {2073-8994}, journal = {Symmetry}, keywords = {micromagnetic simulation, Parallel Finite Element Micromagnetics Package (Magpar), magnetocrystalline anisotropy, exchange energy, demagnetization energy}, number = {1}, publisher = {MDPI AG}, title = {{Influence of Physical Symmetries on the Magnetization Dynamics in Magnetic Fibers}}, doi = {10.3390/sym15010234}, volume = {15}, year = {2023}, } @article{1579, author = {Ehrmann, Andrea and Blachowicz, T.}, issn = {03048853}, journal = {Journal of Magnetism and Magnetic Materials}, keywords = {Pseudo-exchange bias Micromagnetic simulation Hysteresis loops Magnetic nanostructure Tessellation}, publisher = {Elsevier BV}, title = {{Magnetization reversal asymmetry in a structured ferromagnetic nanoparticle with varying shape anisotropy}}, doi = {10.1016/j.jmmm.2021.168929}, volume = {546}, year = {2022}, } @article{1614, author = {Detzmeier, Joscha and Königer, Kevin and Blachowicz, Tomasz and Ehrmann, Andrea}, issn = {2079-4991}, journal = {Nanomaterials}, keywords = {pseudo-exchange bias, minor loop, micromagnetic simulation, OOMMF, spintronics}, number = {3}, publisher = {MDPI AG}, title = {{Asymmetric Hysteresis Loops in Structured Ferromagnetic Nanoparticles with Hard/Soft Areas}}, doi = {10.3390/nano11030800}, volume = {11}, year = {2021}, } @article{1624, author = {Sudsom, Devika and Ehrmann, Andrea}, issn = {2079-4991}, journal = {Nanomaterials}, keywords = {micromagnetic simulation, OOMMF, nanodots, antidots, array, spintronics}, number = {2}, publisher = {MDPI AG}, title = {{Micromagnetic Simulations of Fe and Ni Nanodot Arrays Surrounded by Magnetic or Non-Magnetic Matrices}}, doi = {10.3390/nano11020349}, volume = {11}, year = {2021}, } @article{1601, author = {Sudsom, Devika and Ehrmann, Andrea}, issn = {2673-4605}, journal = {Materials Proceedings}, keywords = {micromagnetic simulation, OOMMF, nanodots, antidots, array, spintronics}, number = {1}, publisher = {MDPI AG}, title = {{Micromagnetic Simulations of Magnetic Particles Embedded in Magnetic or Non-Magnetic Matrices}}, doi = {10.3390/IOCN2020-07940}, volume = {4}, year = {2021}, } @article{1616, author = {Amini, Fedi and Blachowicz, Tomasz and Ehrmann, Andrea}, issn = {0304-8853}, journal = {Journal of Magnetism and Magnetic Materials}, keywords = {Magnetic nanostructures Micromagnetic simulation Magnetization reversal Iron Nickel Cobalt Magnetite Vortex state Domain walls Shape anisotropy}, publisher = {Elsevier BV}, title = {{Systematic study of magnetization reversal in beaded fibers from different magnetic materials}}, doi = {10.1016/j.jmmm.2021.167855}, volume = {529}, year = {2021}, } @article{1426, author = {Bachar, Fatima-Zohra and Schröder, Christian and Ehrmann, Andrea}, issn = {0304-8853}, journal = {Journal of Magnetism and Magnetic Materials}, keywords = {Magnetic nanostructures Micromagnetic simulation Magnetization reversal Iron Vortex state Domain walls Shape anisotropy}, publisher = {Elsevier BV}, title = {{Magnetization reversal in Pac-Man shaped Fe nanostructures with varying aperture}}, doi = {10.1016/j.jmmm.2021.168205}, volume = {537}, year = {2021}, } @inproceedings{684, author = {Detzmeier, Joscha and Königer, Kevin and Ehrmann, Andrea}, booktitle = {The 2nd International Online-Conference on Nanomaterials}, editor = {Díez-Pascual, Ana María and Di Bartolomeo, Antonio and Chen, Guanying}, keywords = {pseudo-exchange bias, minor loop, micromagnetic simulation, OOMMF, spintronics}, location = {online}, publisher = {MDPI}, title = {{ Asymmetric hysteresis loops and horizontal loop shifts in purely ferromagnetic nanoparticles}}, doi = {10.3390/IOCN2020-07836}, year = {2020}, } @article{656, author = {Blachowicz, Tomasz and Döpke, Christoph and Ehrmann, Andrea}, issn = {2079-4991}, journal = {Nanomaterials}, keywords = {micromagnetic simulation, magnetic nanofiber networks, magnetization reversal, electrospinning, iron}, number = {4}, publisher = {MDPI}, title = {{Micromagnetic Simulations of Chaotic Ferromagnetic Nanofiber Networks}}, doi = {10.3390/nano10040738}, volume = {10}, year = {2020}, } @article{635, author = {Sudsom, Devika and Juhász Junger, Irén and Döpke, Christoph and Blachowicz, Tomasz and Hahn, Lothar and Ehrmann, Andrea}, issn = {2410-3896}, journal = {Condensed Matter}, keywords = {magnetic nanostructures, micromagnetic simulation, bow-tie structure, vortex, magnetization reversal, iron, permalloy, lithography}, number = {1}, publisher = {MDPI}, title = {{Micromagnetic Simulation of Vortex Development in Magnetic Bi-Material Bow-Tie Structures}}, doi = {10.3390/condmat5010005}, volume = {5}, year = {2020}, } @article{669, author = {Sudsom, Devika and Blachowicz, Tomasz and Hahn, Lothar and Ehrmann, Andrea}, issn = {0304-8853}, journal = {Journal of Magnetism and Magnetic Materials}, keywords = {Magnetic nanostructures, Wedges, Micromagnetic simulation, Vortex, Magnetization reversal, Iron, Permalloy, Lithography}, publisher = {Elsevier}, title = {{Vortex nucleation and propagation in magnetic double-wedges and semi-squares for reliable quaternary storage systems}}, doi = {10.1016/j.jmmm.2020.167294}, volume = {514}, year = {2020}, } @inbook{2727, author = {Lück, Sönke and Naumann, Rolf}, booktitle = {Advances in Dynamics of Vehicles on Roads and Tracks. Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden}, editor = {Klomp, Matthijs and Bruzelius, Fredrik and Nielsen, Jens and Hillemyr, Angela}, isbn = {978-3-030-38076-2}, issn = {2195-4364}, keywords = {Multibody Simulation, Railway Accident, Complex System Simulation, Vehicle Dynamics, Braking}, location = {Göteborg}, pages = {292--302}, publisher = {Springer International Publishing}, title = {{Scenario Substructure Method (SSM) for Simulation of Long Trains}}, doi = {10.1007/978-3-030-38077-9_35}, year = {2020}, } @article{582, author = {Blachowicz, Tomasz and Kosmalska, Dorota and Döpke, Christoph and Leiste, Harald and Hahn, Lothar and Ehrmann, Andrea}, journal = {Journal of Magnetism and Magnetic Materials}, keywords = {Magnetic nanostructures Magneto-optical Kerr effect (MOKE) Micromagnetic simulation Magnetization reversal Cobalt Lithography}, title = {{Varying steps in hysteresis loops of Co square nano-frames}}, doi = {10.1016/j.jmmm.2019.165619}, volume = {491}, year = {2019}, } @article{340, author = {Ehrmann, Andrea and Blachowicz, Tomasz}, issn = {2372-0484 }, journal = {AIMS Materials Science}, keywords = {micromagnetic simulation, magnetic nanoparticles, nanoparticle cluster, OOMMF, stable intermediate state, lithography}, number = {2}, pages = {383--390}, title = {{Interaction between magnetic nanoparticles in clusters}}, doi = {10.3934/matersci.2017.2.383}, volume = {4}, year = {2017}, } @article{1210, author = {Kunkel, Susanne and Schenck, Wolfram}, issn = {1662-5196}, journal = {Frontiers in Neuroinformatics}, keywords = {profiling, performance analysis, memory footprint, high-performance computing, supercomputer, large-scale simulation, spiking neuronal networks}, publisher = {Frontiers Media SA}, title = {{The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code}}, doi = {10.3389/fninf.2017.00040}, volume = {11}, year = {2017}, } @article{368, author = {Ehrmann, Andrea and Blachowicz, T.}, issn = {2250-2483}, journal = {Journal of The Institution of Engineers (India): Series E}, keywords = {Micromagnetic simulation, Magnetic fiber, Magnetic coating, Magpar, OOMMF}, number = {2}, pages = {145--150}, publisher = {Springer India}, title = {{Micromagnetic Simulation of Fibers and Coatings on Textiles}}, doi = {10.1007/s40034-014-0054-9}, volume = {96}, year = {2015}, }