Knowledge center – MAST3RBoost

Deliverables

WP1 Development of data collection and storage infrastructure for application of machine-learning tools.

D1.1 Implementation of raw-data parsers and common data processing into LABCORE notebook

D1.2 Database kick-started and fed with pre-existing data

D1.3 Data management plan for the project

D1.4 Harmonized methodology on data gathering to build unified database for in-depth ML

D1.5 Descriptor performance in ML

D1.6 Interactive material maps (unsupervised ML), fabrication-structure (supervised ML) models

WP2 Lab-scale maturement of protocols for improved and replicable ultraporous carbons and MOFs assisted by machine learning

WP3 Scale-up and densification of selected ultraporous materials from the carbon and MOF families and their combinations.

WP4 Development and testing of advanced, fibre-reinforced lightweight metal alloys and coatings for hydrogen storage vessel.

D4.1 Report on literature and database gaps in MMCs& coatings for compressed H2 & cryo-Temp

D4.2 Datasheet of thermo-physical and mechanical properties of light metal alloys by WAAM

WP5 Design of vessel and ancillary components, digital twin and integration of short-term hydrogen storage system. Qualification of the demonstrator against application standards.

WP6 Life Cycle Assessment, Life Cycle Costing and overall Risk Assessment.

WP7 Exploitation, Dissemination and Communication.

WP8 Project Management.