How the choice of a computational model could rule the chemical interpretation: The Ni(II) catalyzed ethylene dimerization as a case study. - Vincent Tognetti; Pascal Le Floch; Carlo Adamo (J. Comput. Chem., 2010)

Quantifying electro/nucleophilicity by partitioning the dual descriptor. - Vincent Tognetti; Christophe Morell; Laurent Joubert (J. Comput. Chem., 2015)

Nine questions on energy decomposition analysis. - Juan Andrés; Paul W. Ayers; Roberto Álvarez Boto; Ramon Carbó-Dorca; Henry Chermette; Jerzy Cioslowski; Julia Contreras-Garcia; David L. Cooper; Gernot Frenking; Carlo Gatti; Farnaz Heidar-Zadeh; Laurent Joubert; et al. (J. Comput. Chem., 2019)

Predicting experimental electrophilicities from quantum and topological descriptors: A machine learning approach. - Guillaume Hoffmann 002; Muhammet Balcilar; Vincent Tognetti; Pierre Héroux; Benoit Gaüzère; Sébastien Adam; Laurent Joubert (J. Comput. Chem., 2020)

Preface of Carlo Adamo's virtual special issue. - Éric Brémond; Ilaria Ciofini; Frédéric Labat; Vincent Tognetti (J. Comput. Chem., 2024)

Exchange-correlation effects in interatomic energies for pure density functionals and their application to the molecular energy prediction. - Vincent Tognetti; Laurent Joubert (J. Comput. Chem., 2024)

Expanding horizons in conceptual density functional theory: Novel ensembles and descriptors to decipher reactivity patterns. - Guillaume Hoffmann 002; Frédéric Guégan; Vanessa Labet; Laurent Joubert; Henry Chermette; Christophe Morell; Vincent Tognetti (J. Comput. Chem., 2024)

Predicting redox potentials by graph-based machine learning methods. - Linlin Jia; Éric Brémond; Larissa Zaida; Benoit Gaüzère; Vincent Tognetti; Laurent Joubert (J. Comput. Chem., 2024)