Imagine trying to bake a cake where you don't know if the ingredients are toxic or how they'll react over time. This project creates a digital guidebook and a smart calculator that predicts if a nanomaterial is safe and sustainable before you even make it. It replaces months of trial-and-error lab work with computer simulations, making the path from the lab to the store much faster.
Companies developing nanomaterials face slow market entry due to massive data gaps and expensive, time-consuming safety testing. This creates a bottleneck in commercializing high-potential products.
A digital Decision Support Toolbox (DST) and a MOOD algorithm that uses AI to evaluate safety, sustainability, and functionality data.
If you are a skincare manufacturer dealing with strict safety regulations for nano-ingredients — this project developed a digital Decision Support Toolbox that reduces R&D effort and approval lead-time. This allows you to launch safer products faster while ensuring they meet environmental standards.
If you are a materials supplier dealing with high costs of testing new nano-coatings — this project developed an AI-supported design process that minimizes the amount of experimental data needed. This cuts down the time and money spent on testing before a product hits the market.
If you are a filtration company dealing with the environmental impact of nano-filters at the end of their life — this project developed a quantitative assessment for the end-of-life stage. This ensures your products are sustainable and comply with the EU Chemicals Strategy for Sustainability.
The project uses a digital Decision Support Toolbox and AI to minimize the quantity of experimental data required. This dramatically reduces R&D effort and approval lead-time.
Based on available project data, the tool is designed to increase the viability of industrial uptake across sectors like Automotive, Construction, and Health, though specific production volumes are not mentioned.
Based on available project data, the project establishes a web-based community for sharing data and methodologies, but specific licensing terms for the software are not provided.
Yes, it is specifically designed to align with the Safe and Sustainable by Design (SSbD) guidelines and the EU Chemicals Strategy for Sustainability.
The project aims to reduce approval lead-time, but the specific integration timeline for a company is not listed in the data.
The consortium is heavily geared toward commercial application, with a 46% industry ratio. It includes 13 partners from 8 countries, notably featuring 6 SMEs, which suggests the resulting tools are being designed for the practical constraints of smaller, agile manufacturers rather than just academic research.
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