33 citations · 64 across the 3 of their papers we have counts for
3 papers
Morphological evolution via surface diffusion learned by convolutional, recurrent neural networks: extrapolation and prediction uncertainty
Daniele Lanzoni, Marco Albani, Roberto Bergamaschini +1
We use a Convolutional Recurrent Neural Network approach to learn morphological evolution driven by surface diffusion. To this aim we first produce a training set using phase field…
Kinetic Control of Morphology and Composition in Ge/GeSn Core/Shell Nanowires
Simone Assali, Roberto Bergamaschini, Emilio Scalise +8
The growth of Sn-rich group-IV semiconductors at the nanoscale provides new paths for understanding the fundamental properties of metastable GeSn alloys. Here, we demonstrate the e…
Strain engineering in Ge/GeSn core/shell nanowires
Simone Assali, Marco Albani, Roberto Bergamaschini +6
Strain engineering in Sn-rich group IV semiconductors is a key enabling factor to exploit the direct band gap at mid-infrared wavelengths. Here, we investigate the effect of strain…