Selected Publications in Condensed Matter Theory:
G. Marchetti, M. Hodgson, J. Mcugh, R. Chantrell, I. D'Amico, Spin Relaxation In GaAs: Importance Of Electron-Electron Interactions, Materials 7(4), 2795-2814, 2014
G. Marchetti, M. Hodgson, I. D'Amico, Spin decoherence in n-type GaAs: The effectiveness of the third-body rejection method for electron-electron scattering, Journal of Applied Physics, 116, 163702, 2014
G. Marchetti, I. D'Amico, Effect of Ionized Impurity Screening on Spin Decoherence at Low and Intermediate Temperatures, Physica Status Solidi b, 201600806, 2017
G. Marchetti, Inconsistency between Linearized Thomas-Fermi Approximation and Electron-Ionized Impurity Scattering Rate in the first Born Approximation, Journal of Physics: Condensed Matter, 30 475701, 2018
G. Marchetti, Single-particle relaxation time in doped semiconductors beyond the Born approximation, Journal of Applied Physics, 126, 045713, 2019
G. Marchetti, Electron-electron Scattering in the Diffusive Regime and Dyakonov-Perel Theory: a case study of spin decoherence in n-type GaAs, arXiv:2308.14102 (in revision)
G. Marchetti, Revisiting the Thomas-Fermi Potential for Three-Dimensional Condensed Matter Systems , arXiv:2310.01600 , 97, 81, European Physical Journal B (2024)
Publications in Complex Systems, Bayesian Inference, Dynamical Systems, Complex Networks:
G. Marchetti, M. Patriarca, E. Heinsalu, A Bayesian Approach to the Naming Game Model, Frontiers in Physics 8, 10.10.3389/fphy.2020.00010, 2020
G. Marchetti, M. Patriarca, E. Heinsalu, A bird’s-eye view of naming game dynamics: From trait competition to Bayesian inference, Chaos: An Interdisciplinary Journal of Nonlinear Science, 30, 063119, 2020
G. Marchetti, M. Patriarca, E. Heinsalu, The role of bilinguals in the Bayesian naming game, Physica D, Volume 428, 15 December 2021, 133062
G. Marchetti, Generalized Naming Game and Bayesian Naming Game as Dynamical Systems , Phys. Rev. E, 109, 064202, (2024) (APS website arXiv:2402.01940)
Publications in Machine Learning applied to Physics, Chemistry and Statistical Mechanics:
Alessandro Romualdi, G. Marchetti, Machine Learning S-Wave Scattering Phase Shifts Bypassing the Radial Schrödinger Equation,The European Physical Journal B 94, Article number: 249 (2021) [equally contributed]
A. Martinez-Serra, G. Marchetti, F. D'Amico, I. Fenoglio, B. Rossi, M. P. Monopoli, G. Franzese, A Machine Learning Tool to Analyse Spectroscopic Changes in High-Dimensional Data, A. Martinez-Serra, G. M [equally contributed (A. Martinez-Serra performed the experiments, G. M developed the ML model)]
G. Marchetti, Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou High-Dimensional Trajectories through Manifold Learning, preprint in arXiv
G. Marchetti, Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins (preprint available), 2025
My PhD thesis The role of electron-electron scattering in spin transport for a GaAs semiconductor in the nondegenerate regime at the repository White Rose eTheses online . PhD thesis supervisor: Prof. Irene D'Amico, external examiner: Prof. Gillian Gehring OBE.
Note that if you are curious you can find a some quoted text about the spin written by the nobel laureate Gerard ’t Hooft from our private correspondence. He gently allowed me to use it.