<a href=https://www.ai-transpwood-project.eu/>AI-TranspWood⁠ (AITW) ambition is to create an AI-driven multiscale methodology for new Safe and Sustainable by Design (SSbD), and functional wood-based composites and demonstrate the concept for Transparent Wood (TW), a promising composite with potential applications in several industrial fields, such as construction, automotive, electronics and furniture.
Several of the <a href=https://github.com/orgs/AI-TranspWood/repositories>modeling⁠ tools developed within AITW are made available through the <a href=https://www.eessi.io/>European⁠ Environment for Scientific Software Installations (EESSI).
This extension aims at making these tools easily accessible to users through a JupyterLab interface capable of pulling optimized code binaries directly from EESSI.The terminal app available in JupyterLab can also be used by power-users to run the AITW codes through their respective CLIs, or any other of the <a href=https://www.eessi.io/docs/available_software/overview/>codes⁠ made available through EESSI.

Resources

• Project website⁠
• Project Github ORG⁠
• EESSI Documentation⁠
• License⁠