$\texttt{express}$: extensible, high-level workflows for swifter $\textit{ab initio}$ materials modeling
Qi Zhang (1), Chaoxuan Gu (1), Jingyi Zhuang (2, 3), Renata M., Wentzcovitch (1, 2, 3) ((1) Department of Applied Physics, Applied, Mathematics, Columbia University, New York, NY, USA, (2) Lamont-Doherty Earth, Observatory, Columbia University, Palisades, NY, USA

TL;DR
The paper introduces 'express', an open-source Julia framework that automates and customizes high-throughput ab initio materials calculations with modular workflows, real-time tracking, and failure recovery.
Contribution
It presents a highly modular, extensible workflow framework for ab initio materials modeling, with built-in templates and real-time monitoring capabilities.
Findings
Successfully applied workflows to lime and akimotoite.
Demonstrated real-time tracking and rerunning of failed jobs.
Provided reusable, customizable workflow components.
Abstract
In this work, we introduce an open-source project, , an extensible, high-throughput, high-level workflow framework that aims to automate calculations for the materials science community. is shipped with well-tested workflow templates, including structure optimization, equation of state (EOS) fitting, phonon spectrum (lattice dynamics) calculation, and thermodynamic property calculation in the framework of the quasi-harmonic approximation (QHA). It is designed to be highly modularized so that its components can be reused across various occasions, and customized workflows can be built on top of that. Users can also track the status of workflows in real-time, and rerun failed jobs thanks to the data lineage feature provides. Two working examples, i.e., all workflows applied to lime and akimotoite,…
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Taxonomy
TopicsMachine Learning in Materials Science · Parallel Computing and Optimization Techniques · Additive Manufacturing and 3D Printing Technologies
