| Centre
Paris-Saclay
| | | | | | | webmail : intra-extra| Accès VPN| Accès IST | English
Univ. Paris-Saclay

Sujet de stage / Master 2 Internship

Back to the internship list


Automatized synthesis of nanoparticles

Contact: CARRIERE David, , david.carriere@cea.fr, +33 1 69 08 54 89
Summary:
The control over the size of nanoparticles synthesized in solution remains a major challenge. Here, we will design a synthesis controled by a real-time size measurement by small-angle X ray scattering.
Possibility of continuation in PhD: Oui
Deadline for application:30/04/2021

Full description:
Owing to size reduction, nanoparticles have outstanding properties suitable for a broad range of applications, like optics, energy production and storage, and medicine to name a few. Such applications often require in turn a very delicate control over the size, structure and aggregation state of the nanoparticles. But currently, this control is only approximate and essentially relies on trial-and-error approaches.

In this context, we develop an approach where the synthesis of nanoparticles in solution is monitored in real time by in situ, small-angle X-ray scattering (SAXS). The long-term objective is to master the final nanoparticles by making an automatized synthesis setup, with a feedback loop between the size, number and aggregation state of the nanoparticles as measured by SAXS, and the operational parameters of the synthesis (injection of reactant, pH, temperature).

The aim of this internship is to build and validate the setup by synthesizing model nanoparticles (SiO2), with a sub-nanometer-scaled accuracy on the size, and no aggregation. It will consist in 1) completing the real-time comparison of SAXS patterns with physical models, 2) understand the dependency of the rates of nucleation, growth and aggregation with the operational parameters by using or improving current theories, and 3) use this fundamental understanding to build the feedback loop.
Technics/methods used during the internship:
Small-angle X-ray scattering, Python coding, nucleation/growth theories

Laboratory
Tutor of the internship
Other related link

 

Retour en haut