Ubermag: Toward More Effective Micromagnetic Workflows

• Published in: IEEE transactions on magnetics Vol. 58; no. 2; pp. 1 - 5
• Main Authors: Beg, Marijan, Lang, Martin, Fangohr, Hans
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytical models; Computational modeling; Data analysis; Data science; Data visualization; Magnetism; Magnetization; Mathematical model; Micromagnetics; Numerical models; open source software; Reproducibility; reproducibility of results; Simulation; user interfaces; Workflow
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2021.3078896

Computational micromagnetics has become an essential tool in academia and industry to support fundamental research and the design and development of devices. Consequently, computational micromagnetics is widely used in the community, and the fraction of time researchers spend performing computational studies is growing. We focus on reducing this time by improving the interface between the numerical simulation and the researcher. We have designed and developed a human-centered research environment called Ubermag. With Ubermag, scientists can control an existing micromagnetic simulation package, such as object oriented micromagnetic framework (OOMMF), from Jupyter notebooks. The complete simulation workflow, including definition, execution, and data analysis of simulation runs, can be performed within the same notebook environment. Numerical libraries, co-developed by the computational and data science community, can immediately be used for micromagnetic data analysis within this Python-based environment. By design, it is possible to extend Ubermag to drive other micromagnetic packages from the same environment.