4.8 Article

Workflow Engineering in Materials Design within the BATTERY 2030+Project

Journal

ADVANCED ENERGY MATERIALS
Volume 12, Issue 17, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/aenm.202102638

Keywords

high-throughput materials simulation; multi-scale modeling; multi-scale simulation

Funding

  1. European Union [824143, 957189]
  2. German Federal Ministry of Education and Research (BMBF) [13XP5094A, 13XP5094C]
  3. MARVEL National Centre of Competence in Research (NCCR) - Swiss National Science Foundation [51NF40-182892]
  4. Independent Research Fund Denmark (Green Transition Project 1, title Reconfigurable Metamaterials for Next Generation High-Capacity Batteries) [0217-00111B]
  5. Projekt DEAL
  6. BATTERY 2030+ initiative [957213]

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Modeling and simulation of materials have become essential in materials design to select promising materials and provide insights. Multiple simulation tools are often needed to achieve modeling goals, requiring methods and tools for high-throughput simulations and rapid prototyping of new protocols.
In recent years, modeling and simulation of materials have become indispensable to complement experiments in materials design. High-throughput simulations increasingly aid researchers in selecting the most promising materials for experimental studies or by providing insights inaccessible by experiment. However, this often requires multiple simulation tools to meet the modeling goal. As a result, methods and tools are needed to enable extensive-scale simulations with streamlined execution of all tasks within a complex simulation protocol, including the transfer and adaptation of data between calculations. These methods should allow rapid prototyping of new protocols and proper documentation of the process. Here an overview of the benefits and challenges of workflow engineering in virtual material design is presented. Furthermore, a selection of prominent scientific workflow frameworks used for the research in the BATTERY 2030+ project is presented. Their strengths and weaknesses as well as a selection of use cases in which workflow frameworks significantly contributed to the respective studies are discussed.

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