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Official PDF TranslationJournal of Fuel Chemistry and Technology

A Computational Dataset for C1 Molecular Catalytic Conversion over Iron-Based Catalysts

Authors: ZHANG Jian; LI Chaochao; LU Kuan

DOI: 10.1016/S1872-5813(26)60683-4Status: Verified Translated Edition
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Key Findings in This Report

• • The dataset includes 690 directories and 1961 files, with 472 configurations for Fe5C2(510), the most representative Fischer-Tropsch synthesis surface, enabling high-throughput screening of reaction pathways. • • Fe5C2(510) exhibits high CO activation activity and C–C coupling ability, making it a critical target for optimizing catalyst design in syngas conversion. • • The dataset covers adsorption, dissociation, and formation reactions across three crystal surfaces (001, 111, 510), providing a comprehensive benchmark for validating density functional theory (DFT) methods. • • The standardized hierarchical storage system facilitates direct application in reaction kinetic analysis, catalytic activity descriptor extraction, and machine learning model training, accelerating the development of C1 conversion technologies.