The present invention relates to a method for optimizing material properties of components of a battery comprising the following steps: Inputting material parameter data, with said material parameter data relating to properties of constituents of the components of the battery; simulating one or more components and/or constituents of components of the battery using a simulation model which takes the material parameter data as input to generate simulation result data as output, with the simulation result data comprising at least one of the following data: data on microscopic geometric features of the component, data on a conductivity of the component, data on a current collector, data on a binder phase, data on a diffusivity of the electrolyte and data on a charging and discharging potential of the component; training an AI model with the material parameter data as input and the simulation result data as output; evaluating a final accuracy of the AI model with respect to the simulation model using extended material parameter data; using the AI model to output material properties of the constituents of the components of the battery. The invention further relates to a method for manufacturing a fiber network, to an electrode and to a battery.