Parts | Days | Selection | Search | Updates | Downloads | Help
DY: Fachverband Dynamik und Statistische Physik
DY 49: Focus Session: Computing with Dynamical Systems: New Perspectives on Reservoirs and Applications II – Applications and Quantum RC
DY 49.4: Talk
Thursday, March 21, 2024, 16:00–16:15, BH-N 243
Computing Functionality in Gold Nanoparticle Networks — •Jonas Mensing1, Andreas Heuer1, and Wilfred G. van der Wiel2 — 1Institute of Physical Chemistry, University of Münster, Germany — 2Center for brain-inspired Nano Systems, University of Twente, Enschede
Nanoparticles tunnel-coupled by insulating organic molecules exhibit strong nonlinear switching behavior at low temperatures. When assembling these switches in a recurrent network and manipulating the charge transport dynamics inside through surrounding electrodes, this network can be configured to execute brain-inspired computing applications. Via extensive kinetic Monte Carlo-based simulations we have analyze both stationary and time-dependent charge transport dynamics to assess the network*s computing and memory capabilities. We provide novel metrics to quantify general nonlinear properties of the network such as negative differential resistance and nonlinear separability of different input values, which are essential for future machine learning applications.
Keywords: Brain-inspired Computing; Neuromorphic Computing; Reservoir Computing; Machine Learning; Kinetic Monte Carlo Simulation