Domain, Specialties : Materials chemistry
Keywords: CO2 capture, Nanomaterials, Artificial Intelligence, Small-Angle X-ray scattering
Research Unit : NIMBE / LIONS
Summary
This internship explores the discovery of new nanostructured oxides for CO2 capture using an approach combining robotic synthesis and artificial intelligence. The project aims to validate this innovative methodology while identifying materials with improved performance.
Full description
The automation of chemical synthesis assisted by artificial intelligence opens new prospects for accelerated discovery of functional materials. However, the validity of these approaches compared to conventional methods remains to be established, particularly for the synthesis of nanostructured oxides intended for CO2 capture and sequestration.
The internship addresses two complementary scientific questions:
- Methodological validation: Determine whether robotic synthesis produces materials equivalent to those obtained by conventional routes, or whether automation generates specific synthesis pathways with distinct properties
- Parameter space exploration: Systematically explore the influence of multiple parameters (oxide types, nanostructuring agents, injection protocols) to identify materials exceeding current CO2 capture performance
The intern will implement an experimental protocol combining:
- Solution-based syntheses, both automated (Opentrons Flex robot) and manual for comparison
- Structural characterization by small-angle X-ray scattering (SAXS, laboratory and synchrotron)
- Adsorption property measurements (BET, CO2 capture/release) in collaboration with ENSTA
- Programming for robot control and data analysis
This high-throughput approach will enable exploration of a parameter space inaccessible by conventional methods.
Experimental skills developed:
- Oxide synthesis in solution (conventional and robotic methods)
- Advanced characterization techniques (SAXS, physisorption, gas adsorption)
- Use of automated equipment and associated programming
Methodological skills developed:
- High-throughput experiment design
- Critical analysis of complex datasets
- Rigorous scientific validation approach
The internship also offers the opportunity to work with advanced research equipment (synchrotron) and develop expertise at the interface between materials chemistry and computational methods.
The internship will take place within a 4-person team working on this topic, in a laboratory of approximately 30 researchers. The intern will have access to the following equipment:
- Opentrons Flex synthesis robot
- Laboratory X-ray scattering and synchrotron beamtime
- Chemistry laboratory for synthesis and preparations
- Gas characterization platform (CO2 capture/release, BET)
Location
CEA Saclay, (91) Essonne, France
Internship conditions
- Internship duration: 6 months
- Level of study: Bac+5
- Training: Master 2
- Continuation in PhD thesis: Yes
- Application deadline: 2 février 2026
Experimental skills
Candidate profile: Master’s degree (M2) in materials science, solid-state chemistry, physical chemistry, or related disciplines.
Knowledge of oxide synthesis and physicochemical characterization is desired. An interest in programming represents a significant asset to fully exploit the capabilities of the robotic approach. The project will particularly suit candidates interested in innovative methodological approaches in materials science and in issues related to the energy transition.
Language : English
Links
- Laboratory website : https://iramis.cea.fr/nimbe/lions/
- Supervisor website: https://www.linkedin.com/in/david-carriere-cea/
Supervisor personal web page: https://iramis.cea.fr/en/nimbe/lions/pisp/david-carriere-2/
Supervisor
David Carrière
Phone: +33 1 69 08 54 89
Email :
Head of the laboratory NIMBE / LIONS
Antoine Thill
Phone: +33 1 69 08 99 82