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TheMeCat: Dataset of Thermocatalytic Conversion of CO2 to Methanol

  • Árpád I. Toldy
  • , Prajwal Pisal
  • , Ondřej Krejčí
  • , Patrick Rinke
  • , Annukka Santasalo-Aarnio
  • Helsinki University of Technology
  • Technical University of Munich
  • Munich Center for Machine Learning
  • University of Turku and Turku University Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Data-driven materials discovery to accelerate the development of new catalysts for the green transition shows great promise, but requires machine-interpretable experimental data. For this purpose, we compiled the TheMeCat dataset for the thermocatalytic conversion of CO2 to methanol. TheMeCat is curated from experimental literature sources, and designed for hybrid computational and experimental catalyst workflows. The dataset captures key catalyst features, process parameters, and methanol conversion efficiencies. Upon detailed analysis of the generated dataset and the associated variability in reported values, we perform targeted error analysis to assess consistency and reinforce the need for clear, structured reporting.

Original languageEnglish
Article number165
JournalScientific Data
Volume13
Issue number1
DOIs
StatePublished - Dec 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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