Ubermag: Towards more effective micromagnetic workflows

TL;DR

Ubermag is a Python-based, human-centered environment that streamlines micromagnetic simulations by integrating control, execution, and data analysis within Jupyter notebooks, enhancing efficiency and extensibility.

Contribution

It introduces Ubermag, a novel interface that simplifies and unifies micromagnetic workflows within a Jupyter notebook environment, supporting multiple simulation packages.

Findings

Enables control of micromagnetic simulations from Jupyter notebooks

Integrates data analysis with numerical libraries in Python

Supports extension to other micromagnetic packages

Abstract

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-centred research environment called Ubermag. With Ubermag, scientists can control an existing micromagnetic simulation package, such as 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.