Vorträge (nicht Konferenz)

In this combined talk, first a comprehensive library of nanopatterns derived from a single block copolymer (BCP) exhibit wide range of structures from simple spheres to more intricate forms, including split micelles, flower-like clusters, toroids, disordered arrays, and other unique morphologies [1]. Using polystyrene-b-poly(2-vinylpyridine) (PS-b-P2VP) surface micelles deposited on SiOx surfaces, a distinctive transformation in morphology is triggered by direct immersion in various solvents. [...]

Accelerator-driven neutron sources offer a cost-effective alternative to traditional sources such as fission reactors and spallation sources. The advent of high-current proton accelerator systems has given rise to a new class of neutron facility, termed High-Current Accelerator-driven Neutron Sources (HiCANS), which has unique properties and capabilities.The High-Brilliance Neutron Source (HBS) project at Forschungszentrum Jülich is developing a HiCANS facility. [...]

The NESTML toolchain automatically generates high-performance code for these models, allowing them to be used in simulations of brain activity on several platforms, in particular the NEST Simulator running on HPC, but also the SpiNNaker neuromorphic platform. In this interactive tutorial, we will learn how to create a custom neuron model that exhibits dendritic action potentials, and combine it with a custom synaptic plasticity rule to create a network that learns and replays specific sequences of stimuli..

In the design of neuromorphic systems, it is vital to have a flexible and highly performant way of exploring system parameters. Using NEST Simulator [1] and the NESTML modeling language [2], spiking neural network models can be quickly prototyped and subjected to design constraints that mirror those of the intended neuromorphic platform [...]