activity
20172026
most citedStrain engineering in Ge/GeSn core/shell nanowires

33 citations · 77 across the 12 of their papers we have counts for

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Showing 2024Show all

4 papers · 1 filter

cond-mat.mes-hall2024★ 1 cited

Phase-field Modelling of Anisotropic Solid-State Dewetting on Patterned Substrates

Emma Radice, Marco Salvalaglio, Roberto Bergamaschini

We present a phase-field model for simulating the solid-state dewetting of anisotropic crystalline films on non-planar substrates. This model exploits two order parameters to trace…

cond-mat.mtrl-sci2024

Interface energies of Ga2O3 phases with the sapphire substrate and the phase-locked epitaxy of metastable structures explained

Ilaria Bertoni, Aldo Ugolotti, Emilio Scalise +2

Despite the extensive work carried out on the epitaxial growth of Ga2O3, a fundamental understanding of the nucleation of its different metastable phases is still lacking. Here we…

cond-mat.mes-hall2024★ 3 cited

Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials via Cahn-Hilliard flow

Daniele Lanzoni, Andrea Fantasia, Roberto Bergamaschini +2

A Convolutional Recurrent Neural Network (CRNN) is trained to reproduce the evolution of the spinodal decomposition process in three dimensions as described by the Cahn-Hilliard eq…

physics.comp-ph2024★ 2 cited

Quantitative analysis of the prediction performance of a Convolutional Neural Network evaluating the surface elastic energy of a strained film

Luis Martín Encinar, Daniele Lanzoni, Andrea Fantasia +3

A Deep Learning approach is devised to estimate the elastic energy density at the free surface of an undulated stressed film. About 190000 arbitrary surface profiles h(x) are r…