Complex Matter and AI:
Connectivity, Information and Adaption

10-20 March 2025, Geilo, Norway

Theme
Complex Matter and AI explores the intersection of artificial intelligence and complex matter systems, where materials exhibit behaviors influenced by intricate structures and interactions. This field investigates how AI can model, predict, and optimize the properties of materials with complex, dynamic behaviors, such as soft matter, biological tissues, colloidal assemblies and magnetic systems.

Sub-Themes
A) Connectivity
Connectivity in Complex Matter and AI examines how interconnected elements within complex matter systems—such as networks in biological tissues or nanostructured materials can be analyzed and optimized using artificial intelligence.
B) Information
Information involves investigating complex matter systems processes and utilize AI concepts such as neural networks and machine learning algorithms. This subtheme can cover topics like information flow, pattern recognition, and decision-making in adaptive materials.
C) Adaption
Adaption explores how data and signals flow within complex materials and systems, revealing patterns of organization and behavior. AI tools enable the analysis of these information networks, uncovering hidden relationships and predicting emergent phenomena.

Topics will cover both experiments and theory. In addition to about 40 hours of invited lectures and seminars, there will be tutorials and discussions. Participants are encouraged to submit abstracts for a poster session.

Objective
The objective of this School is to bring together researchers with various interests and background in fields like soft or complex matter science, biological physics, mechanical or chemical engineering, materials science, AI. The focus of the School is synergism between modern science and technology in the area of physical matter inspired by AI and vice versa.