Feedback mechanisms between AC field-actuated active particles and their environment

Prof. Dr. Ivo Buttinoni, Heinrich-Heine-Universität Düsseldorf, DE

Synthetic microswimmers represent the new generation of colloids since they undergo self-propulsion rather than being in thermodynamic equilibrium. As such, they are able to affect their environment as much as the environment affects their active motion. In this talk, I will present a versatile experimental model system consisting of Janus spheres that self-propel under applied AC electric fields of tunable frequency and amplitude. This system enables the study of a variety of feedback mechanisms between active colloids and their complex surroundings. As “environments”, I will consider both dense polarised colloidal backgrounds and optical potentials generated by laser tweezers. I will show that, in all systems, the environmental feedback significantly alters the active motion and collective behaviour of the self-propelling particles. 

Programming Responsiveness: From Stimuli-Controlled Systems to Sustainable Polymer Materials

Dr. Céline Calvino, University of Freiburg, DE

Responsive materials—defined as systems that adapt their properties in a predictable manner under external stimuli such as light, temperature, or mechanical force—offer a powerful framework to encode function, extend material lifetimes, and enable more sustainable use of resources. In this lecture, I will present a unified research trajectory that establishes responsiveness as a central design variable, where stimuli act as control parameters from the molecular to the macroscopic scale.

I will first introduce early strategies based on supramolecular and dynamic covalent interactions to engineer polymer systems with emergent functionalities. These include mechanoresponsive materials that translate mechanical stress into optical signals for damage sensing, as well as encapsulated chemistries that enable stress-triggered release of functional agents for self-reporting or on-demand debonding. In parallel, dynamic covalent approaches for the in situ functionalization of cellulose nanocrystals during melt processing will be presented, addressing dispersion challenges and enabling mechanically reinforced, bio-based composites through scalable routes.

Building on this foundation, I will then present recent advances in photoreversible polymer systems based on quinolinone chemistry, enabling catalyst-free polymerization with near-quantitative reversibility. These systems allow repeated depolymerization–repolymerization cycles, with oxygen-mediated control over activation wavelengths and efficient solid-state cycloreversion. Importantly, this work establishes orthogonal control over material states, where light, heat, and environmental conditions selectively trigger distinct, non-interfering transformations within a single system.

Together, these approaches demonstrate how responsiveness can be programmed at the molecular level to control macroscopic behavior. By integrating dynamic interactions and orthogonal stimuli-responsive chemistries, this work outlines a general strategy to design adaptive materials that sense, respond, and enable circular use, paving the way toward more sustainable polymer technologies.

Use of AI in Research

Dr. Bernd Schmidt, Heinrich-Heine-Universität Düsseldorf, DE

My research group explores diverse aspects of modern supramolecular chemistry, developing novel functional compounds and materials through self-assembly. Our work places particular emphasis on energy-related and sustainable applications, leveraging confinement effects both in solution and in the solid state. Bridging the molecular and materials scales, we work across individual molecules, discrete supramolecular assemblies, and extended frameworks, focusing on the rational design, synthesis, and characterisation of these systems, as well as their functional properties at various interfaces.

For the discussion at the Summer School 2026 Intelligent Matter, we will evaluate the use of AI, particularly focusing on Large Language Models (LLMs) in academia, from a personal perspective from legal and ethical concerns to applicability.