Citing SOAPify
Work in progress
@article{doi:10.1063/5.0139010,
title = {Innate dynamics and identity crisis of a metal surface unveiled by machine learning of atomic environments},
author = {Cioni,Matteo and Polino,Daniela and Rapetti,Daniele and Pesce,Luca and Delle Piane,Massimo and Pavan,Giovanni M.},
year = 2023,
journal = {The Journal of Chemical Physics},
volume = 158,
number = 12,
pages = 124701,
doi = {10.1063/5.0139010},
url = {https://doi.org/10.1063/5.0139010},
eprint = {https://doi.org/10.1063/5.0139010}
}
@misc{RapettiAuNP,
title = {{Machine Learning of Atomic Dynamics and Statistical Surface Identities in Gold Nanoparticles}},
author = {Rapetti, Daniele and Delle Piane, Massimo and Cioni, Matteo and Polino, Daniela and Ferrando, Riccardo and Pavan, Giovanni M.},
year = 2022,
archivePrefix = "ChemRxiv",
doi = {10.26434/chemrxiv-2022-7wfm9-v2},
journal = {ChemRxiv},
publisher = {ChemRxiv},
copyright = {Creative Commons Attribution 4.0 International},
keywords = {Gold nanoparticles, Machine learning, Atomic environments, Classification, Atomic dynamics, Statistical identities}
}
TimeSOAP analysis
@misc{caruso2023timesoap,
title = {TimeSOAP: Tracking high-dimensional fluctuations in complex molecular systems via time-variations of SOAP spectra},
author = {Cristina Caruso and Annalisa Cardellini and Martina Crippa and Daniele Rapetti and Giovanni M. Pavan},
year = 2023,
eprint = {2302.09673},
archiveprefix = {arXiv},
primaryclass = {physics.chem-ph}
}
LENS analysis
@misc{crippa2022detecting,
title = {Detecting dynamic domains and local fluctuations in complex molecular systems via timelapse neighbors shuffling},
author = {Martina Crippa and Annalisa Cardellini and Cristina Caruso and Giovanni M. Pavan},
year = 2022,
eprint = {2212.12694},
archiveprefix = {arXiv},
primaryclass = {physics.chem-ph}
}