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5 results for “artificial squares”
Continuous magnetic phase transition in artificial square ice
<p>Open access data set for manuscript "Continuous magnetic phase transition in artificial square ice" published in Physical Review B, <strong>99</strong>, 214430 (2019)</p>
Collective ferromagnetism of artificial square spin ice
<p>We have studied the temperature and magnetic field dependence of the total magnetic moment of large-area permalloy artificial square spin ice arrays. The temperature dependence and hysteresis behavior are consistent with the coherent magnetization reversal expected in the Stoner-Wohlfarth model, with clear deviations due to inter-island interactions at small lattice spacing. Through micromagnetic simulations, we explore this behavior and demonstrate that the deviations result from increasingly complex magnetization reversal at small lattice spacing, induced by inter-island interactions, and depending critically on details of the island shapes. These results establish new means to tune the physical properties of artificial spin ice structures and other interacting nanomagnet systems, such as patterned magnetic media.</p>
Collective ferromagnetism of artificial square spin ice
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Data for: Artificial squares, rectangles and Xray images in random rotational orientations, centered and in different sizes
<p>SORFAC-CT (Cylindrical-Topology Self-Organizing Reference-Free Alignment and Classification; pronounced sôr-fakt or sôr-fak-si-ti) is an efficient method of reference-free rotational image alignment. SORFAC-CT circumvents the dependence of subjective user- or computer-generated external or internal reference images used by other reference-based techniques. Alignment is performed using a Kohonen self-organizing map (SOM), configured on a cylindrical array of artificial neurons. Although alternative alignment protocols often depend on an expert to adjust many ad hoc parameters, SORFAC-CT instead achieves the minimization of one objectively calculated target function by varying only two free parameters. Because SOMs preserve the topological properties of the training (dataset) images, the relative in-plane rotational orientations of dataset images are obtained directly from the array's intrinsic cylindrical coordinate system by noting each mapped dataset image's respective azimuthal angle coordinate placement around the cylinder. Dataset images are not rotated into alignment with internally or externally generated reference images. Instead, SORFAC-CT starts with a cylindrical array of proto-models consisting of random pixel values. The proto-models gradually morph to become the rotational class models by an unsupervised process. The dataset images are then mapped to the class models according to greatest similarity; the alignment angles directly read off the cylinder. This was tested on datasets including square, rectangular and hexagonal geometrical shapes in six different sizes, to introduce heterogeneity. It was also tested using noisy 2-dimensional projections of the AQP-1 x-ray model. The results were near-perfect alignments that could be improved by increasing cylinder circumference, until the resolution limits of the dataset images are reached.</p>
Data for: Artificial squares, rectangles and Xray images in random rotational orientations, centered and in different sizes
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.