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Justin D. Watts

Researcher at University of Minnesota

Publications -  22
Citations -  440

Justin D. Watts is an academic researcher from University of Minnesota. The author has contributed to research in topics: Spin ice & Nanomagnet. The author has an hindex of 10, co-authored 18 publications receiving 328 citations.

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Emergent reduced dimensionality by vertex frustration in artificial spin ice

TL;DR: The thermodynamic properties of artificial spin ice are strongly influenced by the manner in which its constituent nanomagnets are arranged as mentioned in this paper, leading to emergent one-dimensional correlations.
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Classical topological order in the kinetics of artificial spin ice

TL;DR: In this article, the Shakti geometry of artificial spin ice has been studied and it has been shown that its disordered moment configuration is a topological phase described by an emergent dimer-cover model with excitations that can be characterized as topologically charged defects.
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Field-induced phase coexistence in an artificial spin ice

TL;DR: In this article, a quadrupole artificial spin-ice system consisting of interacting plaquettes of coupled single-domain nanomagnets that can be interpreted as a composite, ternary variable was designed and studied.
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Understanding magnetotransport signatures in networks of connected permalloy nanowires

TL;DR: In this article, the authors conducted a thorough experimental study of the magnetoresistance of a connected honeycomb artificial spin ice, and presented a simulation methodology for understanding the detailed behavior of this complex correlated magnetic system.
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Understanding thermal annealing of artificial spin ice

TL;DR: In this paper, a detailed study on thermal annealing of the moment configuration in artificial spin ice was performed, and the authors found that increasing the interaction energy between island moments and reducing the energy barrier to flipping the island moments allow the system to more closely approach the collective low energy state of the moments upon anneeling, suggesting new channels for understanding the thermalization processes in these important model systems.