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Federico M. Paruzzo
Federico M. Paruzzo
PhD, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Chemical shifts in molecular solids by machine learning
FM Paruzzo, A Hofstetter, F Musil, S De, M Ceriotti, L Emsley
Nature communications 9 (1), 4501, 2018
2102018
Structure elucidation of a complex CO 2-based organic framework material by NMR crystallography
J Leclaire, G Poisson, F Ziarelli, G Pepe, F Fotiadu, FM Paruzzo, ...
Chemical science 7 (7), 4379-4390, 2016
512016
A Bayesian approach to NMR crystal structure determination
EA Engel, A Anelli, A Hofstetter, F Paruzzo, L Emsley, M Ceriotti
Physical Chemistry Chemical Physics 21 (42), 23385-23400, 2019
472019
Rapid structure determination of molecular solids using chemical shifts directed by unambiguous prior constraints
A Hofstetter, M Balodis, FM Paruzzo, CM Widdifield, G Stevanato, ...
Journal of the American Chemical Society 141 (42), 16624-16634, 2019
442019
Structure determination of an amorphous drug through large-scale NMR predictions
M Cordova, M Balodis, A Hofstetter, F Paruzzo, SO Nilsson Lill, ...
Nature Communications 12 (1), 2964, 2021
422021
High-resolution 1H NMR of powdered solids by homonuclear dipolar decoupling
FM Paruzzo, L Emsley
Journal of Magnetic Resonance 309, 106598, 2019
292019
Homonuclear Decoupling in 1H NMR of Solids by Remote Correlation
P Moutzouri, FM Paruzzo, B Simões de Almeida, G Stevanato, L Emsley
Angewandte Chemie 132 (15), 6294-6297, 2020
232020
Deconvolution of 1D NMR spectra: A deep learning-based approach
N Schmid, S Bruderer, F Paruzzo, G Fischetti, G Toscano, D Graf, M Fey, ...
Journal of Magnetic Resonance 347, 107357, 2023
212023
A machine learning model of chemical shifts for chemically and structurally diverse molecular solids
M Cordova, EA Engel, A Stefaniuk, F Paruzzo, A Hofstetter, M Ceriotti, ...
The Journal of Physical Chemistry C 126 (39), 16710-16720, 2022
172022
Line narrowing in 1H NMR of powdered organic solids with TOP-CT-MAS experiments at ultra-fast MAS
FM Paruzzo, BJ Walder, L Emsley
Journal of Magnetic Resonance 305, 131-137, 2019
172019
Atomic‐Scale Description of Interfaces between Antigen and Aluminum‐Based Adjuvants Used in Vaccines by Dynamic Nuclear Polarization (DNP) Enhanced NMR Spectroscopy
J Viger‐Gravel, FM Paruzzo, C Cazaux, R Jabbour, A Leleu, F Canini, ...
Chemistry–A European Journal 26 (41), 8976-8982, 2020
152020
Refocused linewidths less than 10 Hz in 1H solid-state NMR
FM Paruzzo, G Stevanato, ME Halse, J Schlagnitweit, D Mammoli, ...
Journal of Magnetic Resonance 293, 41-46, 2018
62018
Measurement of Proton Spin Diffusivity in Hydrated Cementitious Solids
BJ Walder, NA Prisco, FM Paruzzo, JR Yarava, BF Chmelka, L Emsley
The journal of physical chemistry letters 10 (17), 5064-5069, 2019
42019
Deep learning-based phase and baseline correction of 1D 1H NMR Spectra
S Bruderer, F Paruzzo, C Bolliger
Public Bruker White Paper, URL: https://www. bruker. com/en/products-and …, 2021
22021
Automatic signal region detection in 1H NMR spectra using deep learning
F Paruzzo, S Bruderer, Y Janjar, B Heitmann, C Bolliger
Bruker Whitepaper, 1-5, 2019
22019
New Approaches to NMR Crystallography
FM Paruzzo
EPFL, 2019
12019
A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra
G Fischetti, N Schmid, S Bruderer, F Paruzzo, G Toscano, D Graf, M Fey, ...
European Conference on Magnetic Resonance (EUROMAR), Utrecht, The …, 2022
2022
NMR MEETS MACHINE LEARNING: CHEMICAL SHIFT PREDICTIONS IN SOLIDS IN LESS THAN A MINUTE
FM Paruzzo, A Hofstetter, F Musil, S De, M Ceriotti, L Emsley
XLVII National Congress on Magnetic Resonance, 37, 0
LRM
M Balodis, P Berruyer, A Bertarello, S Björgvinsdóttir, B Busi, M Cordova, ...
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