Electrolyzers

The Challenge: Find an optimal structure for the gas diffusion electrode

PEM electrolysis is one of the key technologies for decarbonization of the energy industry and automotive industry. It enables the use of surplus renewable electricity for hydrogen production and thereby connects the industrial sectors of electricity, heat and transport.

For both H2O and CO2 electrolysis, the construction of porous transport layers plays a crucial role. Intelligent material design of these transport layers can optimize electrode efficiency, longevity and product selectivity. Here, GeoDict offers the possibility to specifically improve critical material parameters in the nanometer to millimeter range and thus sustainably reduce costs in development and production.

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Highlights of the GeoDict Solution at a Glance

  • AI-assisted segmentation and identification of objects in 3D image data 
  • Generation of realistic statistical digital twins of the materials on the microscale
  • Determination of important geometric and physical parameters
  • Quantitative and high-performance simulation of physical properties 
  • Automated parameter studies for the design of new materials

Digital Development of Electrolysis Materials with GeoDict

Analyze, understand, create and optimize your separator at the microscale. Math2Market enables you to digitize your materials research and development with GeoDict.

Image Processing & Image Analysis

3D image data can be imported and processed with GeoDict. Latest AI technology based on artificial neural networks (KNN) enables identification of all material constituents analysis and all objects. Single fiber microstructure characterization. Individual fibers and other objects can thus also be detected and characterized.


Characterization & Analysis

Through in-depth analysis of constituents and objects, GeoDict's structure generators can create realistic Digital Twins of the materials. Random generators are used to create statistical variance to minimize statistical errors in the simulations. Together with a database that assigns the respective material properties to all constituents, the Statistical Digital Twin is created.


Modeling & Design

GeoDict determines the important geometric and physical parameters of real or artificially created microstructures: porosity, grain and pore size distribution, active surface area, tortuosity, Gurley value, etc.


Integration & Automation

The Python-based automation enables the coupling of simulations and work steps to extensive parameter studies. Even complex problems such as the optimization of transport properties under mechanical compression can thus be digitally processed.


GeoDict modules used

The GeoDict Solution for Fuel Cell Research

In addition to GeoDict Base, the GeoDict package includes all necessary modules for the research and development of fuel cells.

Module Recommendations

Image Processing & Image Analysis ImportGeo-Vol          
Characterization & Analysis GrainFind-AI FiberFind-AI PoroDict + MatDict      
Modeling & Design GrainGeo FiberGeo WeaveGeo      
Simulation & Prediction DiffuDict ConductoDict FlowDict ElastoDict AddiDict SatuDict

The modules that best fit your needs depend on your specific application in fuel cell Research & Development. Contact us for more information on your project.

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