Carnot PolyNat
PolyNat is part of the European drive to build a sustainable bio-economy, which aims to strengthen the links between economy, society and environment. Our challenge is to innovate in order to improve the way we produce by creating greener value chains, and eco-efficient. Our researchers rely on physicochemistry, materials science and biotechnologies to design materials by directed self-assembly nanostructured and biosourced devices with high added value. PolyNat is also an international influence through the industry forum it organises every year in the field of bio-based materials.
Key figures
| Permanent staff (full-time equivalent) | 281 |
| PhD Students | 113 |
| Global budget | 28,4 M€ |
| Partnership incomes with industry | 12,3 M€ |
Contact
PolyNat Carnot Institute
Cermav-CNRS, BP 53
38041 Grenoble Cedex 9
France
Redouane BORSALI
Director
+33 (0)6 63 71 72 57
Communication:
+33 (0)4 76 03 76 32
borsali[a]cermav.cnrs.fr Email contact
contact[a]polynat.eu
Présentation
PolyNat's research themes are based on four main areas of research scientific and technological challenges.
The first two challenges correspond to the achievement and the Functionalisation of bio-based elementary bricks by using sustainable and eco-responsible chemistry.
The third challenge focuses on the design of biomaterials structured at several scales (nano, micro, macro) and control self-assemblies for generating and/or amplifying functions to be high added value.
The fourth challenge focuses on the mastery of existing processesand formatting to adapt them to the production of biomaterials and thus facilitate industrial transfer.
Activity’s area of the Carnot PolyNat :
- Chemistry and materials
- Packaging
- Security industry
- Electronics Industry
- Energy systems
- Automotive and mobility
- Cosmetics
- Technologies for health
- Medicines
- Sport and wellness
- Fashion and Luxury
- Construction
- Transformation and valorisation of waste
- Wood
- Environment
Finally, PolyNat is also working on a cross-cutting approach to these four challenges combining experimental characterization, modeling and numerical simulation.
