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Alberto Fabrizio
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Transferable machine-learning model of the electron density
A Grisafi, A Fabrizio, B Meyer, DM Wilkins, C Corminboeuf, M Ceriotti
ACS central science 5 (1), 57-64, 2018
2442018
Electron density learning of non-covalent systems
A Fabrizio, A Grisafi, B Meyer, M Ceriotti, C Corminboeuf
Chemical science 10 (41), 9424-9432, 2019
1352019
Open-shell nonbenzenoid nanographenes containing two pairs of pentagonal and heptagonal rings
J Liu, S Mishra, CA Pignedoli, D Passerone, JI Urgel, A Fabrizio, TG Lohr, ...
Journal of the American Chemical Society 141 (30), 12011-12020, 2019
1092019
The role of bridging ligands in dinitrogen reduction and functionalization by uranium multimetallic complexes
M Falcone, L Barluzzi, J Andrez, F Fadaei Tirani, I Zivkovic, A Fabrizio, ...
Nature chemistry 11 (2), 154-160, 2019
1092019
Qualitatively incorrect features in the TDDFT spectrum of thiophene-based compounds
A Prlj, BFE Curchod, A Fabrizio, L Floryan, C Corminboeuf
The journal of physical chemistry letters 6 (1), 13-21, 2015
762015
Rationalizing fluorescence quenching in meso-BODIPY dyes
A Prlj, A Fabrizio, C Corminboeuf
Physical Chemistry Chemical Physics 18 (48), 32668-32672, 2016
612016
Exploring the limitation of molecular water oxidation catalysts
M Busch, A Fabrizio, S Luber, J Hutter, C Corminboeuf
The Journal of Physical Chemistry C 122 (23), 12404-12412, 2018
432018
Synthesis of aminyl biradicals by base-induced Csp 3–Csp 3 coupling of cationic azo dyes
Y Liu, P Varava, A Fabrizio, LYM Eymann, AG Tskhovrebov, OM Planes, ...
Chemical science 10 (22), 5719-5724, 2019
332019
Data-powered augmented volcano plots for homogeneous catalysis
MD Wodrich, A Fabrizio, B Meyer, C Corminboeuf
Chemical Science 11 (44), 12070-12080, 2020
282020
Tuning the structure, reactivity and magnetic communication of nitride-bridged uranium complexes with the ancillary ligands
CT Palumbo, L Barluzzi, R Scopelliti, I Zivkovic, A Fabrizio, ...
Chemical science 10 (38), 8840-8849, 2019
282019
How do London dispersion interactions impact the photochemical processes of molecular switches?
A Fabrizio, C Corminboeuf
The Journal of Physical Chemistry Letters 9 (3), 464-470, 2018
242018
Data mining the C− C cross‐coupling genome
B Sawatlon, MD Wodrich, B Meyer, A Fabrizio, C Corminboeuf
ChemCatChem 11 (16), 4096-4107, 2019
202019
Physics-based representations for machine learning properties of chemical reactions
P van Gerwen, A Fabrizio, MD Wodrich, C Corminboeuf
Machine Learning: Science and Technology 3 (4), 045005, 2022
192022
OSCAR: an extensive repository of chemically and functionally diverse organocatalysts
S Gallarati, P van Gerwen, R Laplaza, S Vela, A Fabrizio, C Corminboeuf
Chemical Science 13 (46), 13782-13794, 2022
172022
Hamiltonian-reservoir replica exchange and machine learning potentials for computational organic chemistry
R Fabregat, A Fabrizio, B Meyer, D Hollas, C Corminboeuf
Journal of chemical theory and computation 16 (5), 3084-3094, 2020
172020
Machine learning models of the energy curvature vs particle number for optimal tuning of long-range corrected functionals
A Fabrizio, B Meyer, C Corminboeuf
The Journal of chemical physics 152 (15), 2020
142020
Synthesis and characterization of semiaromatic polyamides comprising benzofurobenzofuran repeating units
J Cretenoud, B Özen, T Schmaltz, D Görl, A Fabrizio, C Corminboeuf, ...
Polymer Chemistry 8 (14), 2197-2209, 2017
142017
Quantum chemistry meets machine learning
A Fabrizio, B Meyer, R Fabregat, C Corminboeuf
Chimia 73 (12), 983-983, 2019
122019
Learning on-top: Regressing the on-top pair density for real-space visualization of electron correlation
A Fabrizio, KR Briling, DD Girardier, C Corminboeuf
The Journal of Chemical Physics 153 (20), 2020
112020
Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity
A Fabrizio, K Briling, A Grisafi, C Corminboeuf
Chimia 74 (4), 232-232, 2020
102020
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