Publication date: 22nd July 2026
Technological progress and sustainable development fundamentally rely on the discovery of advanced materials that enable cleaner energy, smarter devices, resilient infrastructure, and efficient resource use. From energy storage and conversion to electronics, catalysis, and structural applications, new materials are the foundation of transformative innovation. Yet, conventional trial-and-error approaches to materials discovery remain slow, expensive, and increasingly inadequate to address the growing complexity and urgency of today’s scientific and technological challenges. The decades-long development cycles observed in areas such as lithium-ion batteries clearly demonstrate the limitations of traditional methodologies. Across diverse application domains, there is an urgent need to accelerate the discovery of high-performance, cost-effective, non-toxic, earth-abundant, and environmentally sustainable functional materials. In this talk, I will present FULL-MAP, a pioneering European initiative designed to transform the way materials and interfaces are discovered. By integrating laboratory automation, high-throughput experimentation, and artificial intelligence and machine learning–driven multiscale, multiphysics modeling, FULL-MAP establishes a closed-loop, data-driven framework for systematic and adaptive experimentation. This approach accelerates discovery, reduces cost and risk, and demonstrates a new paradigm for materials innovation, one that can be extended beyond batteries to a wide range of advanced material systems critical to future technologies.
This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101192848, and the involvement in the Battery2030+ Initiative (Battery 2030 CSA3, GA No. 101104022). This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI)
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