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pro vyhledávání: '"Johannes H. Jensen"'
Autor:
Johannes H. Jensen, Anders Strømberg, Ida Breivik, Arthur Penty, Miguel Angel Niño, Muhammad Waqas Khaliq, Michael Foerster, Gunnar Tufte, Erik Folven
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Artificial spin ice (ASI) are nanomagnetic metamaterials with a wide range of emergent properties. Through local interactions, the magnetization of the nanomagnets self-organize into extended magnetic domains. However, controlling when, wher
Externí odkaz:
https://doaj.org/article/291df44eeefc49fcaacb5565e3007264
Autor:
Johannes H. Jensen, Anders Strømberg, Odd Rune Lykkebø, Arthur Penty, Jonathan Leliaert, Magnus Själander, Erik Folven, Gunnar Tufte
Publikováno v:
PHYSICAL REVIEW B
Physical review B
Physical review B (PRB)
Physical review B
Physical review B (PRB)
We present flatspin, a novel simulator for systems of interacting mesoscopic spins on a lattice, also known as artificial spin ice (ASI). A generalization of the Stoner-Wohlfarth model is introduced, and combined with a well-defined switching protoco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ab0fc00f180efaf2f3924fbf41d051
https://hdl.handle.net/1854/LU-8762732
https://hdl.handle.net/1854/LU-8762732
Autor:
Johannes H. Jensen, Gunnar Tufte
Publikováno v:
ALIFE : Proceedings of the Artificial Life Conference
Artificial spin ice (ASI) are systems of coupled nanomagnets arranged on a 2D lattice. ASIs are promising computing substrates due to the rich variety of emergent behavior, accompanied by considerable control and flexibility. Computational models may
Publikováno v:
The 2018 Conference on Artificial Life.
We explore artificial spin ice (ASI) as a substrate for material computation. ASI consists of large numbers of nanomagnets arranged in a 2D lattice. Local interactions between the magnets gives ris...
Autor:
Johannes H. Jensen, Pauline C. Haddow
Publikováno v:
GECCO (Companion)
Artificial Evolutionary techniques have shown great potential for musical tasks. One such task is the automatic generation - or composition - of music. However, when constructing evolutionary music composition systems, a major challenge is finding a