6 citations · 14 across the 10 of their papers we have counts for
11 papers
Growth and characterization of planar hexagonal Ge on CdS
Andrea Besana, Veronica Regazzoni, Marco Faverzani +13
Hexagonal group-IV semiconductors have attracted increasing interest owing to their unconventional electronic and optical properties compared to the cubic diamond phase. However, t…
Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning
Matteo Rigoni, Daniele Lanzoni, Francesco Montalenti +1
Simulations of crystal growth are performed by using Convolutional Recurrent Neural Network surrogate models, trained on a dataset of time sequences computed by numerical integrati…
Resolving the Metastable Si-XIII Structure through Convergent Theory and Experiment
Fabrizio Rovaris, Corrado Bongiorno, Anna Marzegalli +10
Silicon is the undisputed cornerstone of modern technology, with applications ranging from micro- and opto-electronics to quantum technologies. Recently, the exploration of its all…
Electronic States, Spin-Orbit Coupling and Magnetism in Germanium 60° Dislocations
Veronica Regazzoni, Fabrizio Rovaris, Anna Marzegalli +2
Defects in semiconductors have recently attracted renewed interest owing to their potential in novel quantum applications. Here we investigate the electronic and magnetic propertie…
Cross-hatch strain effects on SiGe quantum dots for qubit variability estimation
Luis Fabián Peña, Mitchell I. Brickson, Fabrizio Rovaris +11
SiGe heterostructures integrated with Si via virtual substrate (VS) growth are promising hosts for spin qubits. While VS growth targets plastic relaxation, residual cross-hatch str…
Learning Kinetic Monte Carlo stochastic dynamics with Deep Generative Adversarial Networks
Daniele Lanzoni, Olivier Pierre-Louis, Roberto Bergamaschini +1
We show that Generative Adversarial Networks (GANs) may be fruitfully exploited to learn stochastic dynamics, surrogating traditional models while capturing thermal fluctuations. S…