3 papers
cond-mat.stat-mech2026
Entropy production of active matter systems as indicator for computing performance
Patrick Egenlauf, Hannes A. Kröninger, Arnulf Kung +2
Physical systems can process information through their natural dynamics, offering alternatives to conventional digital computing. Reservoir computing offers a basic framework by us…
nlin.AO2026
Optimal information injection and transfer mechanisms for active matter reservoir computing
Mario U. Gaimann, Miriam Klopotek
Reservoir computing (RC) is a state-of-the-art machine learning method that makes use of the power of dynamical systems (the reservoir) for real-time inference. When using biologic…
nlin.AO2026
Robustly optimal dynamics for active matter reservoir computing
Mario U. Gaimann, Miriam Klopotek
Information processing abilities of active matter are studied in the reservoir computing (RC) paradigm to infer the future state of a chaotic signal. We uncover an exceptional regi…