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Riccardo Farris

Observed names: Farris , R., Farris, Riccardo
ORCID: 0000-0002-8157-6786
Observed ORCID: 0000-0002-8157-6786
OpenAlex ID: A5017255135
Chemical ordering in Pt–Au, Pt–Ag and Pt–Cu nanoparticles from density functional calculations using a topological approach
2021 · Lorena Vega, Hristiyan A. Aleksandrov, et al. · Materials Advances · 46
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Optimal Pt–Au Alloying for Efficient and Stable Oxygen Reduction Reaction Catalysts
2022 · Xianxian Xie, Valentín Briega-Martos, et al. · ACS Applied Materials & Interfaces · 31
At the root of l-lysine emission in aqueous solutions
2022 · Luigi Stagi, Riccardo Farris, et al. · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 19
Spectroscopic and In Silico Studies on the Interaction of Substituted Pyrazolo[1,2-a]benzo[1,2,3,4]tetrazine-3-one Derivatives with c-Myc G4-DNA
2021 · Simone Mulliri, Aatto Laaksonen, et al. · International Journal of Molecular Sciences · 16
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Bayesian neural networks versus deep ensembles for uncertainty quantification in machine learning interatomic potentials
2026 · Riccardo Farris, Emanuele Telari, et al. · Machine Learning Science and Technology · 8
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Determining the chemical ordering in nanoalloys by considering atomic coordination types
2024 · Riccardo Farris, Konstantin M. Neyman, et al. · The Journal of Chemical Physics · 8
Theoretical and Experimental Study of the Excess Thermodynamic Properties of Highly Nonideal Liquid Mixtures of Butanol Isomers + DBE
2021 · Leon de Villiers Engelbrecht, Riccardo Farris, et al. · The Journal of Physical Chemistry B · 8
Effects of Oxygen Adsorption on the Optical Properties of Ag Nanoparticles
2023 · Elena Zerbato, Riccardo Farris, et al. · The Journal of Physical Chemistry A · 7
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Effects of Zr dopants on properties of PtNi nanoparticles for ORR catalysis: A DFT modeling
2024 · Riccardo Farris, Boris V. Merinov, et al. · The Journal of Chemical Physics · 4
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Highlights from Faraday Discussion on Nanoalloys: recent developments and future perspectives, London, UK
2023 · Cesare Roncaglia, Swathi Swaminathan, et al. · Chemical Communications · 1
bayesaenet: uncertainty quantification for machine learning interatomic potentials
2026 · Farris, Riccardo · Zenodo (CERN European Organization for Nuclear Research)
The NanoParticleLibrary (NPL): a Python library for simulating and optimizing nanoparticle structures.
2026 · Farris, Riccardo · Zenodo (CERN European Organization for Nuclear Research)
mcpy: Canonical & Grand Canonical Monte Carlo for atomistic systems with machine-learning potentials
2026 · Farris, Riccardo, Telari, Emanuele, et al. · Zenodo (CERN European Organization for Nuclear Research)
Development and Application of Advanced Computational Methods for Predicting the Structure and Properties of Nanoparticles
2025 · Farris, Riccardo · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)
PdZn_nanoparticles
2024 · Albert Bruix, Riccardo Farris, et al. · ioChem-BD Computational Chemistry Datasets
Oxidized_Ag_Nanoparticles
2023 · Albert Bruix, Elena Zerbato, et al. · ioChem-BD Computational Chemistry Datasets
Optimal Pt–Au Alloying for Efficient and Stable ORR Catalysts
2023 · Ivan Khalakhan, Xianxian Xie, et al. · MATSUS Fall Conference (MATSUS)
Au stabilization effect on Pt catalysts for oxygen reduction reaction
2023 · Xie , X. X., Briega-Martos , V., et al. · Хімічні проблеми сьогодення
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Nanoalloy structures and catalysis part 2: general discussion
2022 · Christine Aikens, Damien Alloyeau, et al. · Faraday Discussions
Works count: 21
Citation count: 148
H-index: 7
I10-index: 4
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