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Turning Linear to Circular: Recyclable Light-Emission Devices
Optimizing New Generation Sustainable Photoactive Materials via AI-Enhanced Functional Imaging
Ontology-based representation of process-structure-property relationships of metals for use in additive manufacturing
Advancing Machine Learning Interpretability in Materials Science Through Algorithm Frameworks and High-Throughput Microscopy
Exploration of deep learning in LIBS analysis for Enhanced Steel Production Processes
Interactive ensemble analysis and visualization for accelerated design and discovery of novel materials
High-throughput electron diffraction (HT-ED) combined with novel sustainable synthesis strategies for discovery of multifunctional metal-organic frameworks
Machine Learning assisted engineering of artificial microbial consortia for the delivery of bio-plastic materials from renewable waste
Explainable machine learning for magnetic interactions extraction
AI-powered computational materials design enabling efficient development and implementation of sustainable metals
Bayesian Experiment Design for Closed-loop Exploration of Battery Materials Phase Space
Data-driven optimization for more resource-efficient 3D-printing processes
Sustainable solution for high performance PM steels (SSPM)
Scrap-tolerant and recycling-friendly metallic alloys
Electrochemical characterization of novel materials for electrolyzers
Genetically Designed Biomimetic Membranes for Energy-Efficient Recovery of Lithium in Lithium-ion Battery Recycling
Porous structured, biobased and recyclable materials for construction application
Cobalt-free and Graphite-free Lithium-ion Batteries
Modeling REE interactions by Explainable AIs
SIMPloy – Systematic Identification of Material Properties from Literature to Accelerate ML-enabled High-Entropy Alloys Discovery Workflows
Electrochemically transformed 3D hierarchical electrodes for green hydrogen production
Metals and Enzymes Supported on Porous Materials as Selective Hybrid Catalysts in Organic Synthesis
Development of molecular linkers and investigation of their role in performance of Plasmonics Photovoltaics
Development of Earth-abundant photochemical CO2 reduction systems for the large-scale production of fuels
Sequential Processing of Organic Solar Cells from Environmentally Friendly Inks
Pollock Titania for carbon conversion
Advanced solar selective composite coating improved by carbon nanomaterials
In-situ investigation of the dynamics of nickel phosphide formation and transformation
Biodegradable organic semiconductors for zero waste electronic sensors
Covalent organic framework (COF) based hybrid photo-catalytic system for efficient CO2 to fuel conversion
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Wallenberg Initiative Materials Science for Sustainability

Enabling sustainable technologies with impact on our society by understanding, creating, and controlling complex materials.

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Participating universities

Chalmers university of technology Royal Institute of Technology Linköping University Luleå University of Technology Lund University Stockholm University Uppsala University

Funded by

Knut and Alice Wallenberg Foundation
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