Newsletter #1 topic - Discover Transparent Wood and AI-TranspWood project

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Newsletter #1 topic - Discover Transparent Wood and AI-TranspWood project

Welcome on board!
This is the first newsletter of AI-TranspWood project, specifically devoted to a periodical update of the project outcomes, aiming to disseminate them to a wider public. Each newsletter develops a particular topic that will be developed and implemented in the upcoming three-years, providing the readers with fresh and smart information and using a multidisciplinary approach.

 

An overview of AI- TranspWood project
Transparent Wood is an innovative material among the most promising on the world scene, with potential applications as a substitute for plastics
and glass in various industrial sectors, such as construction, automotive, electronics, and interior design, with a potentially important role in
sustainability

 

A close look at SSbD framework
In this context, the European project AI-TranspWood AI-driven multiscale methodology to develop Transparent
Wood as sustainable functional material (January 2024 – December 2026) aims to create a multiscale methodology based on artificial intelligence (AI) for the design and production of new wood-based functional composites within the European Union's "Safe and Sustainable by Design" (SSbD) framework. The project is co-funded by the European Commission under the call HORIZON-CL4-2023 -RESILIENCE-01-23 – “Computational models for the development of safe and sustainable by design chemicals and materials”.

 

The role of Artificial Intelligence
With the help of AI tools and advanced experiments, multiscale models, from atomistic to continuum scale, will be developed for the production process and mechanics of transparent wood, allowing a virtual screening of possible biologically derived alternatives to chemicals and fossil origin necessary to produce transparent wood, using current solutions and technologies. The constructed computational models will be shared openly within the European
Environment for Scientific Software Installations (EESSI); easy-to-use tools based on so-called surrogate models will also be available in the VTT Modeling Factory environment with tools for analyzing industrial LCA systems.

Who we are
The project is managed by an international consortium of universities, research centers and companies, coordinated by VTT Technical Research Center of Finland Ltd and sees the participation of Aalto University (Finland), KTH (Sweden), TU Wien (Austria), University of Sassari (Italy), Politecnico di Torino (Italy), AIMPLAS (Spain), Latvijas Finieris (Latvia), Inuru GMBH (Germany), BM Plastic (Italy), Strane Innovation (France), and EPFL−CECAM (Switzerland, associate partner).