GCMAC

This mini workshop, organized by WP5 of GCMAC, intends to provide an overview of different approaches and data management strategies that have recently been developed and adopted to enable the acceleration required in the discovery, design and integration of energy materials. A complex workflow leads from the innovative design of an advanced functional energy material or component to the integration and demonstration at the level of the fully operational energy device. An effective process along this design-to-demonstration path demands data standardization in view of typology and ontology. There is thus a need for the curation of large data sets to resolve and manage the heterogeneity of data representations, scale-bridging simulation techniques and methodologies. The workshop will provide state-of-the-art approaches to foster an end-to-end data management strategy that consists of data migration, data curation, and warehousing activities. The invited speakers will provide use-cases related to data management plans (DMP), development of autonomous data workflows, artificial intelligence techniques for self-learned procedures, and data science models.

Tentative agenda:
16:00-16:05 Introduction
16:05-16:35 Data management plan in project Big-Map
Speaker: Prof. Ivano E. Catelli (Technical University Denmark- DTU)
16:35-17:05 Interoperability and communication protocols for materials acceleration
platforms
Speaker: Dr. Michael Greenwood (CanmetMaterials, NRCAN, Canada)
17:05-17:35 Data management plan and workflow development in GCMAC
Speakers: Dr. Kourosh Malek & Dr. Jenia Jitsev (Forschungszentrum Juelich GmbH)
17:30-18:00 Q&A and round table discussions