Johannes Høydahl Jensen
Background and activities
I'm a PhD candidate at the Computer Architecture and Design (CARD) where my supervisor is Gunnar Tufte. My field of research is unconventional computation, and my main focus is on computation in physical substrates.
Unconventional computation breaks with the silicon-based computer to explore radically different ways of doing information processing. My research builds on the intuition that information processing in nature (such as in our brain) is an inherently physical process. Through evolution, nature has designed highly efficient information processing units that vastly outperform anything built by humans. One view of computation in nature is that of a computational substrate whose physical properties are exploited for information processing.
My research views physical materials as computational substrates and seek to find ways to exploit its properties for computation. Of particular interest are self-organized nanomaterials with a wide range of dynamical properties. Such a "material computer" has the potential to be highly efficient since the computation happens in the rich physical domain.
Keywords: Reservoir Computing, Material Computiation, Dynamical Systems, Evolution-in-materio, Self-organized systems, bottom-up design
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2022) flatspin: A large-scale artificial spin ice simulator. Physical review B (PRB). vol. 106 (6).
- (2020) flatspin: A Large-Scale Artificial Spin Ice Simulator. arXiv.org.
- (2020) Reservoir Computing in Artificial Spin Ice. ALIFE : Proceedings of the Artificial Life Conference.
- (2016) Dynamics in Carbon Nanotubes for In-Materio Computation. International Journal On Advances in Systems and Measurements. vol. 9 (1, 2).