Oct 27 – 30, 2024
Achat Hotel Karlsruhe City
Europe/Berlin timezone

AI-ready materials science data

Oct 29, 2024, 11:00 AM
40m
Kurfürstensaal (Achat Hotel)

Kurfürstensaal

Achat Hotel

Speaker

Jose Marquez (Humboldt University of Berlin)

Description

In the rapidly evolving field of materials science, the shift towards data-centric research needs enhanced strategies for data management, sharing, and publication. This presentation introduces NOMAD (https://nomad-lab.eu), a web-based platform developed by the NFDI consortium FAIRmat. Designed to address these challenges, NOMAD pioneers the application of FAIR principles (Findable, Accessible, Interoperable, and Reusable) to materials science data, thereby facilitating a more efficient, open and collaborative research environment in a federated infrastructure fashion. The core focus of this talk is the striking changes NOMAD has undergone in transitioning from an archive and repository for ab-initio calculations to a global platform for managing materials science data. I will introduce NOMAD Oasis, a locally installable and customizable version of this platform designed to enable the creation of FAIR data from its inception, while simultaneously becoming nodes in a rapidly expanding network of interconnected data hubs. These platforms support a broad spectrum of data-driven research activities within materials science. I will showcase how NOMAD's infrastructure serves as a critical backbone for data-driven research across various domains. These include the accelerated synthesis of materials via physical vapor deposition methods, complex computational workflows, big data strategies for developing novel solar cells, hosting databases for experimental heterogeneous catalysis and metal-organic frameworks, and powering the application of generative AI in materials research.

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