Performance and energy efficiency in material science simulation on heterogeneous architectures. - Eric Pascolo; Fabio Affinito; Carlo Cavazzoni (HPCS, 2014)

Enabling a Quantum Monte Carlo application for the DEEP architecture. - Andrew Emerson; Fabio Affinito (HPCS, 2015)

FFT data distribution in plane-waves DFT codes. A case study from Quantum ESPRESSO. - Fabio Affinito; Carlo Cavazzoni (EuroMPI, 2016)

Performance Analysis and Optimization of the FFTXlib on the Intel Knights Landing Architecture. - Michael Wagner 003; Víctor López 003; Julian Morillo; Carlo Cavazzoni; Fabio Affinito; Judit Giménez; Jesús Labarta (ICPP Workshops, 2017)

Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning. - Federico Pittino; Pietro Bonfà; Andrea Bartolini; Fabio Affinito; Luca Benini; Carlo Cavazzoni (PASC, 2019)

MaX - Materials design at the exascale - a EuroHPC Centre of Excellence: Recent selected results: Invited Paper. - Lubomir Riha; Ada Böhm; Ondrej Vysocky; Filip Vaverka; Elisabetta Boella; Daniele Gregori; Mattia Paladino; Pietro Delugas; Oscar Baseggio; Stefano Baroni; Francesco Andreucci; Kaveh Haghighi Mood; et al. (CF (Companion), 2025)