Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods. - David Moxey; Chris D. Cantwell; Yan Bao; Andrea Cassinelli; Giacomo Castiglioni; Sehun Chun; Emilia Juda; Ehsan Kazemi 002; Kilian Lackhove; Julian Marcon; Gianmarco Mengaldo; Douglas Serson; et al. (CoRR, 2019)

rp-adaptation for compressible flows. - Julian Marcon; Giacomo Castiglioni; David Moxey; Spencer J. Sherwin; Joaquim Peiró (CoRR, 2019)

On the estimation of artificial dissipation and dispersion errors in a generic partial differential equation. - Giacomo Castiglioni; Guangrui Sun; J. Andrzej Domaradzki (J. Comput. Phys., 2019)

Nektar++: Enhancing the capability and application of high-fidelity spectral/hp element methods. - David Moxey; Chris D. Cantwell; Yan Bao; Andrea Cassinelli; Giacomo Castiglioni; Sehun Chun; Emilia Juda; Ehsan Kazemi 002; Kilian Lackhove; Julian Marcon; Gianmarco Mengaldo; Douglas Serson; et al. (Comput. Phys. Commun., 2020)

Nektar++: Design and implementation of an implicit, spectral/hp element, compressible flow solver using a Jacobian-free Newton Krylov approach. - Zhen-Guo Yan; Yu Pan; Giacomo Castiglioni; Koen Hillewaert; Joaquim Peiró; David Moxey; Spencer J. Sherwin (Comput. Math. Appl., 2021)

STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale. - Weiliang Chen; Tristan Carel; Omar Awile; Nicola Cantarutti; Giacomo Castiglioni; Alessandro Cattabiani; Baudouin Del Marmol; Iain Hepburn; James G. King; Christos Kotsalos; Pramod S. Kumbhar; Jules Lallouette; et al. (Frontiers Neuroinformatics, 2022)

High Performance Solution of Tridiagonal Systems on the GPU. - Dmitrii Tolmachev; Philippe Marti; Giacomo Castiglioni; Andrew Jackson (ACM Trans. Parallel Comput., 2025)