ML-extendable framework for multiphysics-multiscale simulation workflow and data management using Kadi4Mat
Somnath Bharech, Yangyiwei Yang, Michael Selzer, Britta Nestler,, Bai-Xiang Xu

TL;DR
This paper introduces a flexible framework for managing complex multiphysics-multiscale simulation workflows and data in materials science, utilizing Kadi4Mat to enhance FAIR compliance and automation.
Contribution
It presents a novel research workflow and data management system tailored for multiphysics-multiscale simulations, integrated with an open-source infrastructure and ontology-based knowledge graph.
Findings
Implementation on Kadi4Mat demonstrates effective data curation and workflow management.
Automated high-throughput simulation and post-processing are achieved.
Framework supports extendibility for future research and data analysis.
Abstract
As material modeling and simulation has become vital for modern materials science, research data with distinctive physical principles and extensive volume are generally required for full elucidation of the material behavior across all relevant scales. Effective workflow and data management, with corresponding metadata descriptions, helps leverage the full potential of data-driven analyses for computer-aided material design. In this work, we propose a research workflow and data management (RWDM) framework to manage complex workflows and resulting research (meta)data, while following FAIR principles. Multiphysics multiscale simulations for additive manufacturing investigations are treated as showcase and implemented on Kadi4Mat: an open source research data infrastructure. The input and output data of the simulations, together with the associated setups and scripts realizing the…
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Taxonomy
TopicsDistributed and Parallel Computing Systems
