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Found 5 papers, 3 papers with code
Machine learning-based spin structure detection
One of the most important magnetic spin structure is the topologically stabilised skyrmion quasi-particle.
Unsupervised learning approaches to characterize heterogeneous samples using X-ray single particle imaging
One of the outstanding analytical problems in X-ray single particle imaging (SPI) is the classification of structural heterogeneity, which is especially difficult given the low signal-to-noise ratios of individual patterns and that even identical objects can yield patterns that vary greatly when orientation is taken into consideration.
fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods
In this paper we detail the implementation and testing of a software package, fmmgen, in which the source code for Barnes-Hut and Fast Multipole operator functions for calculating calculate the potential, field or both from arbitrary ordered sources is easily generated through symbolic algebra.
Computational Physics Mesoscale and Nanoscale Physics
Stable and manipulable Bloch point
We show that for particular thicknesses of layers, a stable Bloch point emerges at the interface between two layers.
Mesoscale and Nanoscale Physics Materials Science Applied Physics Computational Physics
Nmag micromagnetic simulation tool - software engineering lessons learned
We review design and development decisions and their impact for the open source code Nmag from a software engineering in computational science point of view.
Software Engineering Computational Physics
