Start-up Funding Project – Machine learning approach for a high-throughput solid-state system for photoferroelectric ceramics

The start-up develops next-generation materials for sustainable energy solutions. With rising energy demands, increasing miniaturization, and limited resources, there is a growing need for materials that are multifunctional, efficient, and environmentally friendly.

The focus lies on multimodal materials that can harvest energy from multiple sources—such as light, heat, and mechanical motion—within a single system. This enables long-lasting, self-powered devices, particularly for applications like sensors and the Internet of Things, reducing or even eliminating the need for conventional batteries.

A key innovation lies in photoferroelectric materials, which combine multiple physical properties to enable versatile energy conversion. These materials hold strong potential for applications including self-powered sensors, flexible electronics, and advanced solar technologies.

To accelerate material discovery, automated high-throughput processes are leveraged that allow rapid and reproducible testing of numerous material combinations. This significantly shortens development cycles and improves innovation efficiency.

The goal is to transform material research and enable a new generation of sustainable, energy-autonomous technologies.