Buchbeitrag

Understanding information propagation and computational capabilities in large-scale brain models is crucial for advancing both neuroscience and neuro-inspired computing. It remains unknown how complexity affects the performance of simulated biological networks in predicting non-linear dynamics. [...]

Over the past 15 years, GPR full-waveform inversion (FWI) has shown high potential in a wide range of applications. Since most of these studies have been applied in the computationally attractive 2D environment, limitations emerge with respect to antenna modeling and wave propagation effects, consequently leading to errors in the reconstructed parameters. [...]

Fabricating thick (1000 nm) solution-processed perovskite layers is expected to increase the efficiency of carbon-contact-based solar cells compared to thinner (500 nm) films. However, increasing only the deposited layer thickness often results in buried voids inside the dry film. [...]

One approach to scaling quantum computers requires large-scale integration of qubit control electronics at cryogenic temperatures close to the qubits to reduce the wiring bottleneck, signal latencies, and improve the modularity of the system. Finding optimized specifications by accurately simulating the qubit-electronics interface allows optimal budgeting of resources (heat dissipation, area) for scalable quantum computers. [...]