GeoDict offers with GeoApps powerful features for optimizing processes in digital materials research, which are presented in our GeoApp Store.

Use GeoDict as a versatile platform for material research, fully adaptable to your specific needs. Whether you are a researcher, engineer, or industry professional, GeoApps provide the tools you need to extend and customize your digital material laboratory, driving greater efficiency with optimized processes and tailored workflows. GeoApps are tools scripted in Python, using GeoPy and various Python libraries like NumPy and SciPy.

With the release of GeoDict 2025, the GeoApp portfolio in GeoDict has been significantly expanded. Individual GeoApps are available through the dedicated GeoApp Store on our website. The store also allows third-party developers to offer their GeoApps, utilizing GeoDict as a platform and using the full extend of GeoDict and GeoPy features.

GeoApp: Upscaling MICP

One of the innovative GeoApps in GeoDict 2025 is Upscaling MICP. This tool extends the analysis of porous materials by upscaling Mercury Injection Capillary Pressure (MICP) curves from small-scale lab data to larger porous media models, such as digital rock and fuel cell data, overcoming traditional MICP limitations.

GeoApp: Generate Granular Statistical Digital Twin

A significantly enhanced GeoApp in GeoDict2025 is the Generate Granular Statistical Digital Twin. This tool enables the automatic creation of a digital twin from a 3D or even a 2D image of granular material. By using this GeoApp, 3D properties such as permeability can be calculated from 2D images, including SEM scans.

Fig. 1 Generate granular Digital Twin: from 2D to 3D, validation with a SOFC cathode

GeoApp: FiberMath

The FiberMath GeoApp, which was developed by Fraunhofer-ITWM, facilitates the creation of realistic microstructures for fiber-reinforced composites, enabling efficient computation of mechanical responses based on dense fiber geometry. The experimental characterization of fiber-reinforced composites is often expensive due to their local variability and anisotropy. To mitigate these costs, virtual testing can supplement limited physical measurements with computational analyses of virtually generated geometries. Accurate representation of micrometer-scale fiber geometry - varying in type, orientation, length, curvature, and volume - is crucial for effective virtual testing and material optimization. While techniques like microcomputed tomography provide digital images, they cannot encompass the full range of fiber geometries, necessitating the use of synthetic digital twins. The FiberMath GeoApp supports multiple fiber types with customizable parameters and allows for configurations such as layered structures with planar-isotropic fiber orientation, typical in injection-molded components.

Fig. 2 Comparison of structures with straight and curved fibers