Speaker
Description
Magnetic textures have recently attracted significant theoretical and experimental interest due to their rich and complex physical properties, making them potential candidates for new computational devices. Their feasibility as a data processing unit has also recently been demonstrated. However, the current developments in this regard are confined to a very small number of magnetic textures. In this presentation, we will explore ways to generate different types of textures, both in and out of equilibrium. This can be achieved through suitable material engineering or external stimulation. We will also demonstrate how to identify different configurations via their electrical response, exploiting the complex connection between their real and reciprocal space topology. These studies can therefore open new directions for designing texture-based computational devices.