107 citations · 287 across the 19 of their papers we have counts for
19 papers
Band gap reduction in highly-strained silicon beams predicted by first-principles theory and validated using photoluminescence spectroscopy
Nicolas Roisin, Marie-Stéphane Colla, Romain Scaffidi +3
A theoretical study of the band gap reduction under tensile stress is performed and validated through experimental measurements. First-principles calculations based on density func…
Raman Strain-Shift Measurements and Prediction from First-Principles in Highly-Strained Silicon
Nicolas Roisin, Marie-Stéphane Colla, Jean-Pierre Raskin +1
This work presents how first-principles simulations validated through experimental measurements lead to a new accurate prediction of the expected Raman shift as a function of strai…
Low-Power Silicon Strain Sensor Based on CMOS Current Reference Topology
Nicolas Roisin, Thibault Delhaye, Nicolas André +2
A strain sensor inspired by a Widlar self-biased current source topology called -multiplier is developed to obtain a strain-dependent reference current with high supply rejectio…
Indirect light absorption model for highly strained silicon infrared sensors
Nicolas Roisin, Guillaume Brunin, Gian-Marco Rignanese +2
The optical properties of silicon can be greatly tuned by applying strain and opening new perspectives, particularly in applications where infrared is key. In this work, we use a r…
Detection mechanism in highly sensitive ZnO nanowires network gas sensors
Nohora Caicedo, Renaud Leturcq, Jean-Pierre Raskin +2
Metal-oxide nanowires are showing a great interest in the domain of gas sensing due to their large response even at a low temperature, enabling low-power gas sensors. However their…
Using top graphene layer as sacrificial protection during dielectric atomic layer deposition
Xiaohui Tang, Nicolas Reckinger, Olivier Poncelet +5
We investigate the structural damage of graphene underlying dielectrics (HfO2 and Al2O3) by remote plasma-enhanced atomic layer deposition (PE-ALD). Dielectric film is grown on bil…