activity
20172025
most citedLocal approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks

87 citations · 184 across the 6 of their papers we have counts for

collaborators

7 papers

physics.flu-dyn2025★ 1 cited

A Quasi-Analytical Solution for "Carreau-Yasuda-like" Shear-thinning Fluids Flowing in Slightly Tapered Pipes

Gianluca Santesarti, Michele Marino, Francesco Viola +2

This paper presents a quasi-analytical framework for "Carreau-Yasuda-like" fluids with a viscosity characterized by two constant plateau at low and high shear rates connected by a…

physics.flu-dyn2025★ 13 cited

An Insight into Parameter Identifiability Issues in the Carreau-Yasuda Model: a More Consistent Rheological Formulation for Shear-thinning non-Newtonian Inelastic Fluids

Gianluca Santesarti, Michele Marino, Francesco Viola +2

The Carreau-Yasuda rheological model is widely employed in both research and industrial applications to describe the shear-thinning behaviour of non-Newtonian inelastic fluids. How…

cs.CE2021★ 87 cited

Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks

Jan Niklas Fuhg, Michele Marino, Nikolaos Bouklas

Hierarchical computational methods for multiscale mechanics such as the FE and FE-FFT methods are generally accompanied by high computational costs. Data-driven approaches are…

stat.ML2021★ 66 cited

Model-data-driven constitutive responses: application to a multiscale computational framework

Jan Niklas Fuhg, Christoph Boehm, Nikolaos Bouklas +3

Computational multiscale methods for analyzing and deriving constitutive responses have been used as a tool in engineering problems because of their ability to combine information…

math.NA2021

Mixed variational formulations for structural topology optimization based on the phase-field approach

Michele Marino, Ferdinando Auricchio, Alessandro Reali +2

We propose a variational principle combining a phase-field functional for structural topology optimization with a mixed (three-field) Hu-Washizu functional, then including directly…

cs.CE2020★ 17 cited

Electro-magneto-mechanically response of polycrystalline materials: Computational Homogenization via the Virtual Element Method

Christoph Böhm, Blaž Hudobivnik, Michele Marino +1

This work presents a study on the computational homogenization of electro-magneto-mechanically coupled problems through the Virtual Element Method (VEM). VE-approaches have great p…

math.AP2017

Collisions in shape memory alloys

Michel Frémond, Michele Marino, Elisabetta Rocca

We present here a model for instantaneous collisions in a solid made of shape memory alloys (SMA) by means of a predictive theory which is based on the introduction not only of mac…