Advancing next-generation energy materials through experiments, computation and AI.

A newly established research group at Eindhoven University of Technology, building the future of hybrid scientific discovery.

Our vision
01

AI-Enhanced Characterisation

Transforming multimodal experiments into predictive scientific understanding.

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02

Autonomous Discovery

Intelligent laboratories that discover and optimise energy materials and high-efficiency devices.

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03

Generative Materials Design

Generating and validating new materials through AI-guided inverse design and physics-based modelling.

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TU/e M2D EMHL

A new paradigm for discovering energy materials.

Our mission is to develop hybrid scientific workflows that combine advanced experimentation, physics-based modelling, Scientific AI and autonomous laboratories to understand, optimise and discover energy materials and high-efficiency devices.

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A connected view of the questions, methods, data and collaborations shaping our research.

EMHL
Energy Materials
High-Efficiency Devices
Advanced Characterisation
Scientific AI
Autonomous Laboratories
Generative Design
Physics-Based Modelling
Multimodal Data
Open Science
Perovskite Solar Cells

Upcoming research visits to Hong Kong and China

Prof. Pietro Caprioglio will visit City University of Hong Kong, The Chinese University of Hong Kong, Shenzhen Technology University and Central South University in Changsha.

New Open Positions

Two PhD positions are available. Reach out to us to learn more.