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Robust, multi-length-scale, machine learning potential for Ag-Au bimetallic alloys from clusters to bulk materials
Andolina, C. M., Bon, M., Passerone, D., & Saidi, W. A. (2021). Robust, multi-length-scale, machine learning potential for Ag-Au bimetallic alloys from clusters to bulk materials. Journal of Physical Chemistry C, 125(31), 17438-17447. https://doi.org/10.1021/acs.jpcc.1c04403
Atomic-resolution differential phase contrast STEM on ferroelectric materials: a mean-field approach
Campanini, M., Eimre, K., Bon, M., Pignedoli, C. A., Rossell, M. D., & Erni, R. (2020). Atomic-resolution differential phase contrast STEM on ferroelectric materials: a mean-field approach. Physical Review B, 101(18), 184116 (12 pp.). https://doi.org/10.1103/PhysRevB.101.184116
The structure of sub-nm platinum clusters at elevated temperatures
Henninen, T. R., Bon, M., Wang, F., Passerone, D., & Erni, R. (2020). The structure of sub-nm platinum clusters at elevated temperatures. Angewandte Chemie International Edition, 59(12), 839-845. https://doi.org/10.1002/anie.201911068
Template-assisted<em> in situ s</em>ynthesis of Ag@Au bimetallic nanostructures employing liquid-phase transmission electron microscopy
Ahmad, N., Bon, M., Passerone, D., & Erni, R. (2019). Template-assisted in situ synthesis of Ag@Au bimetallic nanostructures employing liquid-phase transmission electron microscopy. ACS Nano, 13, 13333-13342. https://doi.org/10.1021/acsnano.9b06614
Reliability of two embedded atom models for the description of Ag@Au nanoalloys
Bon, M., Ahmad, N., Erni, R., & Passerone, D. (2019). Reliability of two embedded atom models for the description of Ag@Au nanoalloys. Journal of Chemical Physics, 151(6), 064105 (9 pp.). https://doi.org/10.1063/1.5107495
The reaction mechanism of the azide-alkyne Huisgen cycloaddition
Danese, M., Bon, M., Piccini, G. M., & Passerone, D. (2019). The reaction mechanism of the azide-alkyne Huisgen cycloaddition. Physical Chemistry Chemical Physics, 21(35), 19281-19287. https://doi.org/10.1039/C9CP02386K
Revealing the role of phosphoric acid in all-vanadium redox flow batteries with DFT calculations and <em>in situ</em> analysis
Oldenburg, F. J., Bon, M., Perego, D., Polino, D., Laino, T., Gubler, L., & Schmidt, T. J. (2018). Revealing the role of phosphoric acid in all-vanadium redox flow batteries with DFT calculations and in situ analysis. Physical Chemistry Chemical Physics, 20(36), 23664-23673. https://doi.org/10.1039/c8cp04517h