ArticleScientific data2019
Catalysis-Hub.org, an open electronic structure database for surface reactions.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 287 citations in OpenAlex.
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- Challenges and Opportunities of Pretrained Machine Learning Interatomic Potentials in Heterogeneous Catalysis.ACS catalysis · 2026Review
- Cryogenic Carbon Monoxide Oxidation on Cuprous Oxide.Angewandte Chemie (International ed. in English) · 2026Article
- Crossing the Oxo-Peroxo Wall for Selective Electrochemical Epoxidation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Beyond Presumptions: Toward Mechanistic Clarity in Metal-Free Carbon Catalysts for Electrochemical HAdvanced materials (Deerfield Beach, Fla.) · 2025Review
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- Machine learning applications for thermochemical and kinetic property prediction.Reviews in chemical engineering · 2025Review
- Machine learning and DFT database for C-H dissociation on single-atom alloy surfaces in methane decomposition.Scientific data · 2025Article
- Electrochemical formation of bis(fluorosulfonyl)imide-derived solid-electrolyte interphase at Li-metal potential.Nature chemistry · 2025Article
- Beyond chemical structures: lessons and guiding principles for the next generation of molecular databases.Chemical science · 2025Review
- Machine learning and data-driven methods in computational surface and interface science.npj computational materials · 2025Review
- Metal-Independent Correlations for Site-Specific Binding Energies of Relevant Catalytic Intermediates.JACS Au · 2024Article
- MoZn-based high entropy alloy catalysts enabled dual activation and stabilization in alkaline oxygen evolution.Science advances · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
We present a new open repository for chemical reactions on catalytic surfaces, available at https://www.catalysis-hub.org . The featured database for surface reactions contains more than 100,000 chemisorption and reaction energies obtained from electronic structure calculations, and is continuously being updated with new datasets. In addition to providing quantum-mechanical results for a broad range of reactions and surfaces from different publications, the database features a systematic, large-scale study of chemical adsorption and hydrogenation on bimetallic alloy surfaces. The database contains reaction specific information, such as the surface composition and reaction energy for each reaction, as well as the surface geometries and calculational parameters, essential for data reproducibility. By providing direct access via the web-interface as well as a Python API, we seek to accelerate the discovery of catalytic materials for sustainable energy applications by enabling researchers to efficiently use the data as a basis for new calculations and model generation.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.