Semiconductor nanowires and nanostructures

We are interested in the integration of III-V nanowires and nanostructures on silicon in order to produce new vertical transistors. This research activity is particularly focused on the substrate preparation and the first stages of the crystal growth. The emphasis is therefore placed on understanding the nucleation mechanisms of these nanostructures as well as optimizing the growth conditions.

For this, the growth steps are followed by characterization steps in order to verify the structural quality of the obtained structures. Those investigations are led at LAAS (XRD, SEM, AFM) and through external collaborations (TEM, STM) and also by simulations based on theoretical models (DFT).

Implied Persons:

• Corentin Durand
• Sébastien Plissard

Running projects:

• LabCom EpiCentre

Organic Electronics

Our approach is based on the nano-structuration and integration of new organic semiconductors (OSC), which combine unprecedented original electronic properties and are easy to process. By controlling their molecular packing via the nano-structuration of inks it will be possible to take advantage of the attractive electronic properties of those molecules at the device level.

Implied Persons:

• I. Séguy

Running projects:

• ANR MOBInACENE (2023-2027) – CRPP, INSP, LAAS (https://anr.fr/Projet-ANR-23-CE09-0025)
• TIRIS Scaling-up MolElec (2023-2027) – LCC, LAAS

Propriétés optiques de nanostructures

We are interested in optical properties of sub-wavelength small nanostructures, both if illuminated with a global light source, but also when coupled to local light emitters like quantum dots, fluorescent molecules or 2D materials like TMDs. We are investigating effects experimentally, in close collaboration with neighbor laboratories (CEMES, LPCNO). And we develop theoretical models and simulation methods to interpret and understand our experimental observations.

Implied Persons:

• P. R. Wiecha

Running projects:

• ANR JCJC NAINOS (2022-2026)
• ANR VERDICT (2023-2026)
• ANR AIM (2023-2027)
• with CEMES: IQO PhD grant (2024-2027)

Conception de propriétés optiques de nanostructures

We are working on numerical methods for the inverse design of optical nanostructures. This is done using iterative optimization, and during the past years, we also developed deep learning tools for accelerated simulations and for the inverse design of nanostructures with specifically tailored optical properties.

Implied Persons:

• P. R. Wiecha
• G. Larrieu

Running projects:

• ANR JCJC NAINOS (2022-2026)
• ANR AIM (2023-2027)