DR. Kourosh Malek
Institute for energy and climate research, iEK-13
Our division focuses on data and ML models to accelerate materials-to-device integration, especially for PEMFC and PEWE. Three core areas are:
- Data extraction and management: includes extracting, collecting, and managing large-scale data from various sources, supported by in-house developed and domain-specific ontology and materials linguistics as well as DL-based data enrichment
- AI/ML models that are currently being used for inverse design of new electrocatalysts and ionic media in PEMWE as well as Redox Flow Batteries Fully automated image analysis
Accelerated simulations - ML is used to train predictive models connecting materials properties to characterization and performance data.
We have developed cloud applications that provide users with data accessibility, pre-trained ML models that can run on the fly to user specification, with embedded powerful visualization capabilities
![HI logo](/staticfiles/img/connect/HI_logo_only_Black.png)
Helmholtz Imaging Projects
2021: UTILE - Autonomous Image Analysis to Accelerate the Discovery and Integration of Energy MaterialsPublications
Send mail to Kourosh Malek (k.malek@fz-juelich.de)
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