AIT – Use of artificial intelligence, big data and autonomous synthesis to accelerate the development of tomorrow’s battery technology
Batteries play a central role in reducing CO₂ emissions in transportation, energy, and industry. However, the development of new battery materials is still a lengthy process. It is usually based on classic trial-and-error methods that often take over a decade. To accelerate these processes, new approaches are needed that intelligently combine digital technologies and automation.
This is precisely where the European research project FULL-MAP comes in. The aim is to develop a fully integrated, AI-supported platform for accelerating material and interface development that simulates, digitalises and automates the entire battery development process – from material development to cell testing. The use of artificial intelligence, machine learning, automated synthesis and high-throughput characterization is expected to take battery development to a new technological level.
Innovation for a new generation of batteries
FULL-MAP is taking a holistic approach to drastically reducing the time from material discovery to the deployment of next-generation batteries. The key project objectives are:Building an interoperable data framework for the structured collection, use and reuse of information on battery materials and interfaces.
Development of adaptable design and simulation tools that use artificial intelligence and machine learning methods to derive suitable material structures and configurations from target specifications such as specific material properties, thereby accelerating complex simulation processes across multiple physical scales.
Further development of analysis methods and automation of high-throughput characterisation modules and technologies for fast, reliable and scalable analysis of battery materials and interfaces.
Development of AI-controlled autonomous synthesis robots to efficiently synthesise, test and further develop novel materials through data-driven iterations.
Strengthening the European research and innovation system and market positioning of the EU in the field of batteries through international cooperation and knowledge dissemination.
Website: International Research Awards on Computer Vision
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