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Published October 16, 2026 | Version v1.1.0
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Laboratory plans let a self-driving database prepare for the workload of a two-dimensional materials laboratory network

Authors/Creators

  • 1. Materials Science & Engineering, The University of Utah

Description

Note (21 Oct 2026): the files of this version are restricted because some result files quoted internal identifiers of a facility database. A corrected version with pseudonymised identifiers follows under the same concept DOI.

Code, result files, figure scripts and figures for the paper "Laboratory plans let a self-driving database prepare for the workload of a two-dimensional materials laboratory network" (Data-Centric Engineering (Cambridge University Press)). Taylor D. Sparks acknowledges support from the U.S. National Science Foundation through the Programmable Cloud Laboratory (PCL) Test Bed AURORA, Award No. 2607535.

Notes

Code (Python and shell scripts) is released under the MIT License (LICENSE). Data, result files and figures are released under the Creative Commons Attribution 4.0 International licence (LICENSE-CC-BY-4.0.txt). AURORA production records are not redistributed.

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Additional details

Related works

Is supplement to
Software: https://github.com/Sparks-Ackolf-HOLAR-Autonomous-Labs/HatSDL_Forecast/tree/v1.1.0 (URL)