Sfoglia per Autore
Parity violation energies of C_4 H_4 X_2 molecules for X=O, S, Se, Te and Po
2013 Stefano, Pelloni; Faglioni, Francesco; Lazzeretti, Paolo
Chiral discrimination via nuclear magnetic resonance spectroscopy
2013 Stefano, Pelloni; Faglioni, Francesco; Lazzeretti, Paolo
Computational Study of the Stability of Nanotube Fragments
2016 Fantini, Beatrice; Faglioni, Francesco
Room-Temperature Lithium Phases from Density Functional Theory
2016 Faglioni, Francesco; Merinov, Boris V.; Goddard, William A.
Medical Database for Detecting Neoplastic Lesions in Human Colorectal Cancer with Deep Learning
2018 Fioresi, Rita; Faglioni, Francesco; Sena, Paola
Factors affecting cyclic durability of all-solid-state lithium batteries using poly(ethylene oxide)-based polymer electrolytes and recommendations to achieve improved performance
2018 Faglioni, Francesco; Merinov, Boris V; Goddard, William A; Kozinsky, Boris
Deep learning techniques for detecting preneoplastic and neoplastic lesions in human colorectal histological images
2019 Sena, P.; Fioresi, R.; Faglioni, F.; Losi, L.; Faglioni, G.; Roncucci, L.
On the simulation of vibrationally resolved electronic spectra of medium-size molecules: the case of styryl substituted BODIPYs
2019 Fortino, Mariagrazia; Bloino, Julien; Collini, Elisabetta; Bolzonello, Luca; Trapani, Mariachiara; Faglioni, Francesco; Pedone, Alfonso
Role of solvent-anion charge transfer in oxidative degradation of battery electrolytes
2019 Fadel, E. R.; Faglioni, F.; Samsonidze, G.; Molinari, N.; Merinov, B. V.; Goddard III, W. A.; Grossman, J. C.; Mailoa, J. P.; Kozinsky, B.
Parity Violation Energy of Biomolecules - V: Protein Metal Centers
2020 Faglioni, F.; Fracassini, B.; Perrone, L.
On the Thermodynamic Interpretation of Deep Learning Systems
2021 Fioresi, R.; Faglioni, F.; Morri, F.; Squadrani, L.
Synthetic Data Generation for Automatic Segmentation of X-ray Computed Tomography Reconstructions of Complex Microstructures
2023 Tsamos, Athanasios; Evsevleev, Sergei; Fioresi, Rita; Faglioni, Francesco; Bruno, Giovanni
Thermodynamics modeling of deep learning systems for a temperature based filter pruning technique
2023 Lapenna, M; Faglioni, F; Fioresi, R
A novel iterative algorithm to improve segmentations with deep convolutional neural networks trained with synthetic X-ray computed tomography data (i.S.Sy.Da.T.A)
2023 Tsamos, A; Evsevleev, S; Fioresi, R; Faglioni, F; Bruno, G
Accurate and Transferable Machine Learning Potential for Molecular Dynamics Simulation of Sodium Silicate Glasses
2024 Bertani, Marco; Charpentier, Thibault; Faglioni, Francesco; Pedone, Alfonso
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