Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

P Piet J. M. Swinkels (Department of Chemistry University of Mainz Duesbergweg 10–14 55128 Mainz Germany) B Brigitta Dúzs (Life‐Like Materials and Systems Department of Chemistry University of Mainz Mainz Germany) O Oliver Skarsetz (Life‐Like Materials and Systems Department of Chemistry University of Mainz Mainz Germany) K Kohei Nishiyama (Life‐Like Materials and Systems Department of Chemistry University of Mainz Mainz Germany) A Andreas Walther (Life-Like Materials and Systems, University of Mainz, Duesbergweg 10-14, 55128 Mainz, Germany)

Abstract

ABSTRACT Chemical and physical computing systems promise information processing in performance regimes inaccessible to conventional electronics. However, they are typically constrained by static hardware architectures that limit adaptability and computational richness. Here, we introduce a reconfigurable microfluidic platform where soft hydrogel structures are 3D‐printed and erased in situ to dynamically reshape the physical environment in which chemical computation occurs. By treating microfluidic geometry as an active, programmable element rather than a passive container, we demonstrate hardware‐reconfigurable control over chemical information processing. We demonstrate switchable Deoxyribonucleic acid (DNA) logic gates that alternate between AND and OR functionality without modifying the underlying reaction network, decoupling logic function from molecular composition. Extending this to a non‐equilibrium chemical reaction network in the form of a feedback‐controlled pH oscillator, we demonstrate that printed structures steer reaction kinetics and spatial pattern formation, giving rise to geometry‐dependent spatiotemporal states. Leveraging these dynamics, we implement a physical reservoir computer in which reconfigurable microfluidic hardware enables the realization of diverse nonlinear functions through simple linear readout. Our work establishes reconfigurable soft microfluidic hardware as a control layer for chemical computation, highlighting how adaptable physical environments actively expand the computational state space of chemical software.

Article Details

Volume / Issue Vol. 38, Issue 39
Published July 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (5)

P

Piet J. M. Swinkels

Department of Chemistry University of Mainz Duesbergweg 10–14 55128 Mainz Germany

B

Brigitta Dúzs

Life‐Like Materials and Systems Department of Chemistry University of Mainz Mainz Germany

O

Oliver Skarsetz

Life‐Like Materials and Systems Department of Chemistry University of Mainz Mainz Germany

K

Kohei Nishiyama

Life‐Like Materials and Systems Department of Chemistry University of Mainz Mainz Germany

A

Andreas Walther

Life-Like Materials and Systems, University of Mainz, Duesbergweg 10-14, 55128 Mainz, Germany