Data of "Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning"

dc.contributor.affiliationUniversity of Oslo-Riccardi, Enrico
dc.contributor.authorRiccardi, Enrico
dc.date.accessioned2025-04-29T14:03:08Z
dc.date.issued2021-09-24
dc.date.issued2021-09-24
dc.descriptionThis is the data and assosiated in-house code for the paper: Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning Sander Roet, Christopher D. Daub, and Enrico Riccardi Journal of Chemical Theory and Computation 2021 17 (10), 6193-6202 DOI: 10.1021/acs.jctc.1c00458
dc.identifierhttps://doi.org/10.5281/zenodo.5565039
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/5551
dc.rights.licensecc-by-4.0
dc.subjectsimulation data
dc.titleData of "Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning"
dc.typedataset