Implicit residual smoothing in a parallel 2d explicit euler solver. - Maria Grazia Gasparo; Sandra Pieraccini (Int. J. Comput. Math., 1999)

An Infeasible Interior-Point Method with Nonmonotonic Complementarity Gaps. - Maria Grazia Gasparo; Sandra Pieraccini; Alessandro Armellini (Optim. Methods Softw., 2002)

Convergence Analysis of an Inexact Infeasible Interior Point Method for Semidefinite Programming. - Stefania Bellavia; Sandra Pieraccini (Comput. Optim. Appl., 2004)

Implicit-Explicit Schemes for BGK Kinetic Equations. - Sandra Pieraccini; Gabriella Puppo (J. Sci. Comput., 2007)

Numerical solution of KKT systems in PDE-constrained optimization problems via the affine scaling trust-region approach. - Stefania Bellavia; Sandra Pieraccini (Int. J. Comput. Math., 2009)

Coupling traffic models on networks and urban dispersion models for simulating sustainable mobility strategies. - Stefano Berrone; Francesca De Santi; Sandra Pieraccini; Massimo Marro (Comput. Math. Appl., 2012)

Constrained Dogleg methods for nonlinear systems with simple bounds. - Stefania Bellavia; Maria Macconi; Sandra Pieraccini (Comput. Optim. Appl., 2012)

Microscopically implicit-macroscopically explicit schemes for the BGK equation. - Sandra Pieraccini; Gabriella Puppo (J. Comput. Phys., 2012)

On Simulations of Discrete Fracture Network Flows with an Optimization-Based Extended Finite Element Method. - Stefano Berrone; Sandra Pieraccini; Stefano Scialò (SIAM J. Sci. Comput., 2013)

A PDE-Constrained Optimization Formulation for Discrete Fracture Network Flows. - Stefano Berrone; Sandra Pieraccini; Stefano Scialò (SIAM J. Sci. Comput., 2013)

An optimization approach for large scale simulations of discrete fracture network flows. - Stefano Berrone; Sandra Pieraccini; Stefano Scialò (J. Comput. Phys., 2014)

Uncertainty quantification in Discrete Fracture Network models: Stochastic fracture transmissivity. - Stefano Berrone; Claudio Canuto; Sandra Pieraccini; Stefano Scialò (Comput. Math. Appl., 2015)

On affine-scaling inexact dogleg methods for bound-constrained nonlinear systems. - Stefania Bellavia; Sandra Pieraccini (Optim. Methods Softw., 2015)

A Parallel Solver for Large Scale DFN Flow Simulations. - Stefano Berrone; Sandra Pieraccini; Stefano Scialò; Fabio Vicini (SIAM J. Sci. Comput., 2015)

A hybrid mortar virtual element method for discrete fracture network simulations. - Matías Fernando Benedetto; Stefano Berrone; Andrea Borio; Sandra Pieraccini; Stefano Scialò (J. Comput. Phys., 2016)

Towards effective flow simulations in realistic discrete fracture networks. - Stefano Berrone; Sandra Pieraccini; Stefano Scialò (J. Comput. Phys., 2016)

Flow simulations in porous media with immersed intersecting fractures. - Stefano Berrone; Sandra Pieraccini; Stefano Scialò (J. Comput. Phys., 2017)

A Three-Field based optimization formulation for flow simulations in networks of fractures on non conforming meshes. - Stefano Berrone; Denise Grappein; Sandra Pieraccini; Stefano Scialò (CoRR, 2019)

Uncertainty quantification of discontinuous outputs via a non-intrusive bifidelity strategy. - Claudio Canuto; Sandra Pieraccini; Dongbin Xiu (J. Comput. Phys., 2019)

Layer-wise relevance propagation for backbone identification in discrete fracture networks. - Stefano Berrone; Francesco Della Santa; Antonio Mastropietro; Sandra Pieraccini; Francesco Vaccarino (J. Comput. Sci., 2021)

A Three-field Based Optimization Formulation for Flow Simulations in Networks of Fractures on Nonconforming Meshes. - Stefano Berrone; Denise Grappein; Sandra Pieraccini; Stefano Scialò (SIAM J. Sci. Comput., 2021)

Discontinuous neural networks and discontinuity learning. - Francesco Della Santa; Sandra Pieraccini (J. Comput. Appl. Math., 2023)

Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors. - Francesco Della Santa; Sandra Pieraccini (CoRR, 2024)

A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs). - Gianluca Audone; Francesco Della Santa; Emma Perracchione; Sandra Pieraccini (CoRR, 2024)

A recipe for learning Variably Scaled Kernels via Discontinuous Neural Networks. - Gianluca Audone; Francesco Della Santa; Emma Perracchione; Sandra Pieraccini (J. Comput. Appl. Math., 2025)

Edge-Wise Graph-Instructed Neural Networks. - Francesco Della Santa; Antonio Mastropietro; Sandra Pieraccini; Francesco Vaccarino (J. Comput. Sci., 2025)

An adaptive importance sampling algorithm for risk-averse optimization. - Sandra Pieraccini; Tommaso Vanzan (CoRR, 2025)