103 citations · 143 across the 7 of their papers we have counts for
7 papers
Unidirectional information flow in a nanomagnetic metamaterial
Johannes H. Jensen, Ida Breivik, Arthur Penty +10
Artificial spin ice (ASI) are metamaterials composed of interacting nanomagnets. Although ASI hold promise for low-power computing, the ability to transmit information through thes…
Clocked dynamics in artificial spin ice
Johannes H. Jensen, Anders Strømberg, Ida Breivik +6
Artificial spin ice (ASI) are nanomagnetic metamaterials exhibiting a wide range of emergent properties, which have recently shown promise for neuromorphic computing. However, the…
On Artificial Life and Emergent Computation in Physical Substrates
Kristine Heiney, Gunnar Tufte, Stefano Nichele
In living systems, we often see the emergence of the ingredients necessary for computation -- the capacity for information transmission, storage, and modification -- begging the qu…
flatspin: A Large-Scale Artificial Spin Ice Simulator
Johannes H. Jensen, Anders Strømberg, Odd Rune Lykkebø +4
We present flatspin, a novel simulator for systems of interacting mesoscopic spins on a lattice, also known as artificial spin ice (ASI). Our magnetic switching criteria enables AS…
EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure
Magnus Själander, Magnus Jahre, Gunnar Tufte +1
The pursuit of many research questions requires massive computational resources. State-of-the-art research in physical processes using simulations, the training of neural networks…
Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity
Kristine Heiney, Vibeke Devold Valderhaug, Ioanna Sandvig +4
Novel computing hardwares are necessary to keep up with today's increasing demand for data storage and processing power. In this research project, we turn to the brain for inspirat…
A general representation of dynamical systems for reservoir computing
Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang +5
Dynamical systems are capable of performing computation in a reservoir computing paradigm. This paper presents a general representation of these systems as an artificial neural net…