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PreprintLicence not statedChemRxiv

TASTET: a Python package for geometry-driven selection of representative atomistic structures from large configurational spaces

  • Alejandro Cañete-Arché1,2
  • Ana McGinley1,2
  • Pablo Castro-Latorre3
  • Graeme W. Watson1,2
  • Max García-Melchor1,2,3,4,5
5 affiliations
  1. 1School of Chemistry
  2. 2Trinity College Dublin
  3. 3Center for Cooperative Research on Alternative Energy (CIC energiGUNE), Basque Research and Technology Alliance (BRTA
  4. 4IKERBASQUE
  5. 5Basque Foundation for Science
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@misc{canetearche2026tastet,
  title = {{TASTET: a Python package for geometry-driven selection of representative atomistic structures from large configurational spaces}},
  author = {Alejandro Cañete-Arché and Ana McGinley and Pablo Castro-Latorre and Graeme W. Watson and Max García-Melchor},
  howpublished = {ChemRxiv},
  year = {2026},
  month = sep,
  doi = {10.26434/chemrxiv.15008498/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008498/v1},
}
RIS
TY  - UNPB
TI  - TASTET: a Python package for geometry-driven selection of representative atomistic structures from large configurational spaces
AU  - Alejandro Cañete-Arché
AU  - Ana McGinley
AU  - Pablo Castro-Latorre
AU  - Graeme W. Watson
AU  - Max García-Melchor
PY  - 2026
DA  - 2026/09/08
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15008498/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008498/v1
ER  -