Imagine wood that looks and acts like glass but stays lightweight and strong. Instead of trial-and-error in a lab, this project uses AI to predict the best recipes for making this material. It's like using a digital simulator to find the perfect eco-friendly ingredients before ever touching a piece of timber.
Industries rely on glass and plastics that are carbon-intensive and non-biodegradable. Developing sustainable alternatives usually requires slow, expensive trial-and-error experimentation.
An AI-driven multiscale modeling software and a user-friendly surrogate model with an integrated LCA tool for industrial material design.
If you are a building material manufacturer dealing with the high carbon footprint of glass and plastics — this project developed a way to create transparent wood that serves as a sustainable substitute. This allows for the production of lightweight, light-transmitting panels that meet green building standards.
If you are a component supplier dealing with the need for lightweight, functional interior surfaces — this project developed AI-optimized transparent wood. This material can replace heavier or less sustainable plastics in car interiors while maintaining high performance.
If you are a hardware designer dealing with the demand for sustainable casings and light-diffusing components — this project developed a multiscale methodology to optimize transparent wood. This enables the creation of functional, bio-based materials for electronic device housings.
The global transparent wood industry is estimated to reach $208.1 million by 2031, with a compound annual growth rate of 9.0% from 2022 to 2031.
The project uses an AI-driven methodology and virtual screening to identify cost-effective solutions for production and bio-based alternatives to expensive or hazardous chemicals.
Based on available project data, the project is developing a user-friendly surrogate model and LCA tool in the VTT Modeling Factory environment specifically for industrial use.
The computational models are openly shared within the European environment for scientific software (EESSI).
The project follows the Safe and Sustainable by Design (SSbD) guidelines to ensure materials are safe, environmentally friendly, and compliant with the European Green Deal.
The consortium is well-balanced for technology transfer, featuring 13 partners across 10 countries. With a 31% industry ratio (4 companies, including 3 SMEs), there is a strong link between the 6 universities and 2 research centers and the actual commercial market, specifically targeting the transition from lab-scale AI models to industrial application.
Contact VTT Technical Research Centre of Finland Ltd.
Contact us to explore the VTT Modeling Factory tools for your material pipeline.
