AI-Assisted Electrode R&D
Exploring how formulation data, manufacturing parameters,
microscopy images and experimental results can be integrated to
support electrode development for batteries, fuel cells and
water electrolysis.
Current topics
Electrode formulation data
Manufacturing parameters
Microscopy image analysis
Defect identification
Design of Experiments
AI-assisted experiment planning
Example
Integrated electrode-development workflow
A development concept connecting formulation tables, process
parameters and microscopy images to identify defects such as
cracks and agglomerates and to support the selection of
subsequent experiments. In the longer term, this workflow could
provide the foundation for an AI agent supporting electrode R&D.
Exploratory development
Digital Twins
Developing digital representations of manufacturing processes
to improve process understanding, simulation, optimization and
engineering decision support.
Current topics
Manufacturing digital twins
Physics-based models
Data-driven models
Hybrid modelling
Virtual process representation
Simulation-supported engineering
Example
Digital representation of a solids-processing operation
A model-based approach for connecting process parameters,
material behaviour and expected manufacturing outcomes.
In development
Computer Vision for Process and Materials Analysis
Investigating vision-based methods for extracting information
from industrial equipment and evaluating material quality from
microscopy images.
Current topics
Computer vision
OCR
HMI data capture
Camera-based monitoring
Microscopy image analysis
Defect detection
Example
Vision-based process and electrode analysis
Exploring two practical applications: reconstructing process
data from machine-interface recordings and detecting typical
electrode defects, including cracks and agglomerates, in
microscopy images.
Experimental concept
R&D Data and Knowledge Systems
Exploring methods for consolidating and analysing historical
R&D information stored across experimental tables, technical
reports, laboratory notes, images and project documentation.
Current topics
Historical R&D data
Heterogeneous data sources
Experimental knowledge
Semantic search
Retrieval-augmented generation
AI-assisted data analysis
Example
AI-assisted access to historical R&D knowledge
A searchable concept connecting experimental results, reports,
methods and technical decisions to make previous knowledge
easier to retrieve, compare and reuse in new development work.
Exploratory concept
Manufacturing Analytics
Applying data-analysis methods to understand manufacturing
processes, identify relevant relationships and support
engineering decisions.
Current topics
Process data analysis
Feature engineering
Time-series data
Process indicators
Root-cause analysis
Data visualization
Example
Data-to-insight workflow for manufacturing processes
Converting raw process data into structured features,
engineering indicators and interpretable relationships.
In development