output
20092025
most citedThermodynamics-based Artificial Neural Networks for constitutive modeling

421 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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5 papers · 1 filter

cond-mat.mtrl-sci2024

A damage mechanics model for quasi brittle materials based on the structured deformation theory

M. L. M. François

The structured deformation theory is used within the thermodynamics of irreversible processes framework in order to build a damage model relevant for quasi-brittle materials. The c…

cond-mat.mtrl-sci2024

Path differences between quasistatic and fatigue cracks in anisotropic media

Xinyuan Zhai, Thomas Corre, Ataollah Mesgarnejad +2

The propagation path of quasistatic cracks under monotonic loading is known to be strongly influenced by the anisotropy of the fracture energy in crystalline solids or engineered m…

cond-mat.mtrl-sci2021★ 177 cited

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

Filippo Masi, Ioannis Stefanou

The mechanical behavior of inelastic materials with microstructure is very complex and hard to grasp with heuristic, empirical constitutive models. For this purpose, multiscale, ho…

cond-mat.mtrl-sci2014★ 15 cited

Optical characterization of PZT thin films for waveguide applications

Julien Cardin, Dominique Leduc, Thomas Schneider +3

In order to develop an electro-optic waveguide, Pb(Zr, Ti)O3 ceramic ferroelectric thin films were elaborated by a modified sol-gel process on glass substrate. In the aim to study…

cond-mat.mtrl-sci2010★ 12 cited

Phase transition in saturated porous media: pore-fluid segregation in consolidation

E. N. M. Cirillo, N. Ianiro, G. Sciarra

Consider the consolidation process typical of soils, this phenomenon is expected not to exhibit a unique state of equilibrium, depending on the \textit{external loading} and the co…