ELIAS Open Call Winners

The European Lighthouse of AI for Sustainability (ELIAS) unites top AI researchers and innovators to tackle pressing challenges such as climate change, societal shifts, and the energy crisis—while advancing responsible and ethical AI.

We are thrilled to introduce the winners of our 1st Open Call, turning innovative AI methods, software, and benchmarks into real-world applications that drive sustainable and socially conscious impact.

LUCIA

PINNSSHS

TENSORIA

AI-REFRAME

Project Overview

PINNSSHS

Physics-Informed Neural Networks for Self-Healing and Sustainable Solutions

PINNSSHS combines physics-informed neural networks (PINNs) with Valence Technologies’ self-healing polymer platform, HEALANT, to optimise material design for diverse applications such as tires, soft robotics, and food packaging. By linking material composition with mechanical properties through AI, the project accelerates development of durable, recyclable, and high-performance polymers. This approach enhances product reliability, reduces waste, and supports circular use of materials, aligning with EU Green Deal sustainability goals.

Challenges

Why Sustainability Matters:

Sustainability is central to PINNSSHS, as self-healing polymers reduce waste, extend product lifespan, and support circular material use, minimising environmental impact across applications.

Materials & circular economy

Technical Details

AI Approach

The project uses physics-informed neural networks (PINNs) to model and predict the complex relationships between polymer composition and mechanical properties. By integrating fundamental principles of polymer science with AI-driven optimization, PINNSSHS enables precise tuning of self-healing and recyclable materials for specific applications. This approach allows rapid exploration of design parameters, accelerating the development of sustainable, high-performance polymers while ensuring that material properties meet strict mechanical and application-specific requirements.

Through the PINNSSHS project, Valence Technologies aims to develop an AI-driven toolbox to streamline the design of our self-healing polymer, HEALANT, enabling its optimization for a wide range of applications.

Enables efficient, scalable design of self-healing polymers
Reduces environmental impact by prolonging product lifespan
Supports fully recyclable materials through mild thermomechanical reprocessing
Improves safety, reliability, and cost-effectiveness across applications

The project accelerates entry into new markets by enabling tailored self-healing polymers that are reliable, recyclable, and environmentally sustainable.

{

At Valence Technologies, we believe AI will transform the polymer industry, serving as a powerful engine to design and optimize materials across diverse applications.

Simon Beckers
CEO

Valence Technologies

Valence Technologies is a Belgian material science company developing advanced self-healing polymers to enhance durability, reduce waste, and promote circular use of materials. Originating from the Vrije Universiteit Brussel and located in the Green Energy Park, Valence integrates its HEALANT platform into industrial applications to improve reliability and sustainability.

Related Initiatives

LUCIA

PINNSSHS

TENSORIA

AI-REFRAME