Multidisciplinary platforms

At the core of RECAT are two multiphysical platforms that bring together materials science, process physics, and digital intelligence.

Together, they form an integrated scientific architecture — a dynamic environment where data, models, and experiments interact to accelerate discovery, improve production, and close the gap between research and industrial application.

Production Intelligence

The Production Intelligence platform develops the digital and physical foundation for intelligent, model-based battery manufacturing.

It connects experimental data, sensors, and simulations into a unified cyber-physical system that can monitor, interpret, and adapt to the behaviour of both materials and processes in real time. This platform operates through three coordinated layers: Product Intelligence, Process Intelligence, and Operational Integration

Product Intelligence links electrochemical, thermal, and mechanical models into multiphysics digital twins that describe how cells and modules behave during production, testing, and use.

Process Intelligence focuses on the flow of materials and information within manufacturing — applying advanced sensing, machine learning, and model-based control to predict and optimise coating, drying, calendaring, and formation with high precision.

The third layer, Operational Integration ensures that production systems are interoperable, secure, and data-ready through three key capabilities:

• Integration, based on Arrowhead-compliant IT/OT interoperability and orchestration standards;
• Data Extraction, enabling semantic pipelines, traceability, and Digital Product Passport-ready data structures;
• Cybersecurity, ensuring trusted architectures, identity management, and continuous runtime protection.

Together, these elements create a coherent infrastructure where every process step contributes to the collective intelligence of the system. Production Intelligence turns data into knowledge and knowledge into control — supporting decision-making from laboratory scale to full industrial deployment.

TLP-Driven Material Discovery

The second platform, TLP-Driven Material Discovery, transforms how new battery materials are identified, evaluated, and scaled for production. It applies Technical Language Processing (TLP) — a form of AI that interprets scientific and industrial text, experimental results, and simulation data — to uncover relationships that humans alone could not detect. TLP allows RECAT to build a continuously learning knowledge graph that connects global research, patents, and laboratory outcomes. This enables the center to detect emerging trends, correlate composition with performance, and identify the most promising material systems for further development. Within RECAT’s laboratories, hypotheses generated by TLP are tested and refined in a tightly coupled experimental loop. Data from LUMIA, Experimental Mechanics, Process Metallurgy, and the CT Laboratory in Skellefteå feed directly into the platform, ensuring that each new experiment enriches the shared knowledge base. Validated insights are then scaled through digital-twin integration and industrial collaboration, creating a direct pathway from discovery to demonstration.

By combining text mining, simulation, and experiment, TLP-Driven Material Discovery reduces time-to-innovation and strengthens reproducibility. It also ensures interoperability with national and European infrastructures such as MAX IV, ESS, and major European technology platforms, establishing RECAT as a Nordic leader in open, data-driven materials innovation. In essence, this platform turns unstructured information into structured intelligence — transforming how materials are developed, understood, and implemented. It represents a new scientific paradigm in which language, data, and experimentation form a continuous, intelligent workflow.

A Unified Multiphysical System

Together, Production Intelligence and TLP-Driven Material Discovery form RECAT’s multiphysical architecture — a unified ecosystem linking materials, processes, and digital intelligence. They embody RECAT’s mission to integrate research and manufacturing into one adaptive system that learns from every experiment, every product, and every operation. Through this structure, RECAT transforms scientific insight into industrial capability — enabling a smarter, faster, and more sustainable European battery industry.