DAEMON outputs

TitleLearning the Electrostatic Response of the Electron Density through a Symmetry-Adapted Vector Field Model
AuthorsMariana Rossi; Kevin Rossi; Alan M. LewisMathieu SalanneAndrea Grisafi
DOIdoi:10.1021/acs.jpclett.5c00165
TypeJournal article
Published inThe Journal of Physical Chemistry Letters
Published byAmerican Chemical Society (ACS)
ISSNs1948-71851948-7185
Linkhttps://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.5c00165
TitleUncertainty in the era of machine learning for atomistic modeling
AuthorsFederico Grasselli; Venkat Kapil; Silvia Bonfanti; Kevin Rossi; Sanggyu Chong
DOIdoi:10.1039/D5DD00102A
TypeJournal article
Published inDigital Discovery
Published byRoyal Society of Chemistry (RSC)
ISSN2635-098X
Linkhttp://pubs.rsc.org/en/content/articlepdf/2025/DD/D5DD00102A
TitleMachine learning model for efficient nonthermal tuning of the charge density wave in monolayer NbSe$_2$
AuthorsLuka Benić; Federico Grasselli; Chiheb Ben Mahmoud; Dino Novko; Ivor Lončarić
DOIdoi:10.48550/arXiv.2505.05384
TypeArticle
Published byarXiv
TitleHarnessing machine learning for efficient large-scale interatomic potential for sildenafil and pharmaceuticals containing H, C, N, O, and S
AuthorsE. Nikidis; N. Kyriakopoulos; R. TohidK. KachrimanisJ. Kioseoglou
DOIdoi:10.1039/D4NR00929K
TypeJournal article
Published inNanoscale
Published byRoyal Society of Chemistry (RSC)
ISSNs2040-33642040-3372
Linkhttp://pubs.rsc.org/en/content/articlepdf/2024/NR/D4NR00929K
TitleRGBChem: Image-Like Representation of Chemical Compounds for Property Prediction
AuthorsRafał Stottko; Radosław Michalski; Bartłomiej M. Szyja
DOIdoi:10.1021/acs.jctc.5c00291
TypeJournal article
Published inJournal of Chemical Theory and Computation
Published byAmerican Chemical Society (ACS)
ISSNs1549-96181549-9626
Linkhttps://pubs.acs.org/doi/pdf/10.1021/acs.jctc.5c00291
TitleEfficient training of machine learning potentials for metallic glasses: CuZrAl validation
AuthorsAntoni Wadowski; Anshul D. S. Parmar; Jesper Byggmästar; Jan S. Wróbel; Mikko J. Alava; Silvia Bonfanti
DOIdoi:10.48550/arXiv.2501.00589
TypeArticle
Published byarXiv
TitleTuning Electronic Properties of Nanoporous Graphene
AuthorsBernhard KretzIvor Lončarić
DOIdoi:10.1021/acs.inorgchem.5c01115
TypeJournal article
Published inInorganic Chemistry
Published byAmerican Chemical Society (ACS)
ISSNs0020-16691520-510X
Linkhttps://pubs.acs.org/doi/pdf/10.1021/acs.inorgchem.5c01115