General information
Reference : UMR5588-BENCOA-005
Workplace : ST MARTIN D HERES
Date of publication : Wednesday, April 6, 2022
Scientific Responsible name : Benoit Coasne
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 October 2022
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly
Description of the thesis topic
Acoustic Response of Fluid Adsorption and Transport in Nanoporous Materials.
Fluids within nanoporous materials are the topic of intense research to unravel the impact of nanoconfinement and surface forces on fluid thermodynamics and dynamics. From a practical viewpoint, such nanconfined fluids are at the heart of efficient technologies impacting our economy/ecology: energy storage/conversion, environment protection, health/human welfare, agribusiness/food science, etc. In particular, adsorption and separation in nanoporous solids are expected to address increasingly complex problems such as bio/agropollutants removal, greenhouse gas mitigation, drinkable water production, etc.
In this PhD thesis, we will employ classical molecular modeling and theoretical approaches – from the atomic to the macro scales – to unravel the acoustic signature of adsorption/transport in nanoporous materials. At each scale, we will probe spontaneous acoustic emission by the fluid/solid system and its response to acoustic wave stimulation. Comparison with experiments done in our group and in the context of a national research project will be performed at each scale. Fluids with different interactions (He, CH4, CO2) will be studied in nanoporous materials to probe pore size/interaction effects. By varying, statically or dynamically, the pressure gradient inducing flow and the mean pressure/temperature, the role of transport type (Knudsen, diffusion, viscous flow) and adsorption type (partially and entirely filled pores) will be probed.
Work Context
The person recruited will work in the Interdisciplinary Physics Laboratory (LiPHY). This laboratory is a joint CNRS - Grenoble-Alpes University unit. The laboratory is located within the university domain of Grenoble. The person recruited will be attached to the Statistical Physics and Modeling team. More information on the precise group in which the research will be conducted can be found here: https://benoitcoasne.github.io/
Constraints and risks
There is no risk/constraint associated with this offer as the job is only numerical/theoretical in nature.
Additional Information
Project funded by the French National Research Agency (ANR)
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