Marco D. de Tullio

According to our database, Marco D. de Tullio authored at least 9 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

FSEI-GPU: GPU accelerated simulations of the fluid-structure-electrophysiology interaction in the left heart.

Francesco Viola, Vamsi Spandan, Valentina Meschini, Joshua Romero, Massimiliano Fatica, Marco D. de Tullio, Roberto Verzicco

Comput. Phys. Commun., 2022

Predicting the vascular adhesion of deformable drug carriers in narrow capillaries traversed by blood cell.

Alessandro Coclite, Giuseppe Pascazio, Marco D. de Tullio, P. Decuzzi

CoRR, 2022

Characterization of micro-capsules deformation in branching channels.

Alessandro Coclite, Marco D. de Tullio, Giuseppe Pascazio, Tiziano Politi

Appl. Math. Comput., 2022

2020

A Lattice Boltzmann dynamic-Immersed Boundary scheme for the transport of deformable inertial capsules in low-Re flows.

Alessandro Coclite, Sergio Ranaldo, Giuseppe Pascazio, Marco D. de Tullio

Comput. Math. Appl., 2020

2018

A fast moving least squares approximation with adaptive Lagrangian mesh refinement for large scale immersed boundary simulations.

Vamsi Spandan, Detlef Lohse, Marco D. de Tullio, Roberto Verzicco

J. Comput. Phys., 2018

2017

A parallel interaction potential approach coupled with the immersed boundary method for fully resolved simulations of deformable interfaces and membranes.

Vamsi Spandan, Valentina Meschini, Rodolfo Ostilla Monico, Detlef Lohse, Giorgio Querzoli, Marco D. de Tullio, Roberto Verzicco

J. Comput. Phys., 2017

Polynomial chaos assessment of design tolerances for vortex-induced vibrations of two cylinders in tandem.

Gianluca Geraci, Marco D. de Tullio, Gianluca Iaccarino

Artif. Intell. Eng. Des. Anal. Manuf., 2017

2016

A moving-least-squares immersed boundary method for simulating the fluid-structure interaction of elastic bodies with arbitrary thickness.

Marco D. de Tullio, Giuseppe Pascazio

J. Comput. Phys., 2016

2007

An immersed boundary method for compressible flows using local grid refinement.

Marco D. de Tullio, Pietro De Palma, Gianluca Iaccarino, Giuseppe Pascazio, Michele Napolitano

J. Comput. Phys., 2007