58 citations · 91 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Early life imprints the hierarchy of T cell clone sizes
Mario U. Gaimann, Maximilian Nguyen, Jonathan Desponds +1
The adaptive immune system responds to pathogens by selecting clones of cells with specific receptors. While clonal selection in response to particular antigens has been studied in…
Structural Characterization of an Ionic Liquid in bulk and in nano-confined environment from MD simulations
Natasa Vucemilovic-Alagic, Radha D. Banhatti, Robert Stepic +7
This article contains data on structural characterization of the [C2Mim][NTf2] in bulk and in nano-confined environment obtained using MD simulations. These data supplement those p…
Insights from Molecular Dynamics Simulations on Structural Organization and Diffusive Dynamics of an Ionic Liquid at Solid and Vacuum Interfaces
Natasa Vucemilovic-Alagic, Radha D. Banhatti, Robert Stepic +7
Hypothesis A prototypical modelling approach is required for a full characterisation of the static and equilibrium dynamical properties of confined ionic liquids (ILs), in order to…