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PreprintLicence not statedChemRxiv

Training of Neural Network Machine Learning Potentials for Activation Barrier Calculations in Predicting Growth Modes of Deposited Metals

  • Karl Rönnby1
  • Cara-Lena Nies1
  • Savannah May Timony1
  • Michael Nolan1
  • Nolan Michael
  1. 1Tyndall National Institute, University College Cork, Lee Maltings, Dyke Parade, Ireland
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Cite

BibTeXRIS
BibTeX
@misc{ronnby2026training,
  title = {{Training of Neural Network Machine Learning Potentials for Activation Barrier Calculations in Predicting Growth Modes of Deposited Metals}},
  author = {Karl Rönnby and Cara-Lena Nies and Savannah May Timony and Michael Nolan and Nolan Michael},
  howpublished = {ChemRxiv},
  year = {2026},
  month = nov,
  doi = {10.26434/chemrxiv.15011790/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011790/v1},
}
RIS
TY  - UNPB
TI  - Training of Neural Network Machine Learning Potentials for Activation Barrier Calculations in Predicting Growth Modes of Deposited Metals
AU  - Karl Rönnby
AU  - Cara-Lena Nies
AU  - Savannah May Timony
AU  - Michael Nolan
AU  - Nolan Michael
PY  - 2026
DA  - 2026/11/06
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15011790/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011790/v1
ER  -