Kernels and Graphs on M25 + H (parent repository)
Pihlajamäki, Antti; Kärkkäinen, Tommi; Malola, Sami; Häkkinen, Hannu. (2023). Kernels and Graphs on M25 + H (parent repository). University of Jyväskylä. https://doi.org/10.17011/jyx/dataset/87525.
JYU authors:
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All authors: Pihlajamäki, Antti; Kärkkäinen, Tommi; Malola, Sami; Häkkinen, Hannu
Funders: Research Council of Finland
Right-holders:
Availability and identifiers
Availability: Direct download
Publication year: 2023
URN identifier in original repository: http://urn.fi/URN:NBN:fi:jyu-202306073591
DOI identifier in original repository: https://doi.org/10.17011/jyx/dataset/87525
URN identifier in JYX: http://urn.fi/URN:NBN:fi:jyu-202306073591
DOI identifier in JYX: https://doi.org/10.17011/jyx/dataset/87525
Description of the dataset
This is the metadata for the parent repository of the codes. Updates and possible corrections are documented in the GitLab project, where the material saved and shared. The GitLab project can be found and downloaded from the following address: https://gitlab.jyu.fi/mlnovcat-aneepihl/kernels-and-graphs-on-m25-h
Language: English
Free keywords: machine learning, graphs, kernels, catalysis, nanoparticles, clusters, gold,
Keywords (YSO): machine learning; catalysis; catalysts; nanoparticles; nanomaterials; nanosciences
Fields of science: 114 Physical sciences; 116 Chemical sciences; 113 Computer and information sciences
Do you deal with data concerning special categories of personal data in your research?: No
Projects related to dataset
- High performing machine learning for novel catalyst design
- Honkala, Karoliina
- Research Council of Finland
- High performing machine learning for novel catalyst design
- Häkkinen, Hannu
- Research Council of Finland
- High performing machine learning for novel catalyst design
- Kärkkäinen, Tommi
- Research Council of Finland