Evidence map›Paper›PMID 42272187›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

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

Piet J M Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Piet J M SwinkelsLife-Like Materials and Systems, Department of Chemistry, University of Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0002-6118-9746
Brigitta DúzsLife-Like Materials and Systems, Department of Chemistry, University of Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0002-0909-2808
Oliver SkarsetzLife-Like Materials and Systems, Department of Chemistry, University of Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0002-1540-1873
Kohei NishiyamaLife-Like Materials and Systems, Department of Chemistry, University of Mainz, Mainz, Germany.ORCID https://orcid.org/0009-0002-0188-6416
Andreas WaltherLife-Like Materials and Systems, Department of Chemistry, University of Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0003-2170-3306

Funding

Defects and Defect Engineering in Soft Matter 465145163Defects and Defect Engineering in Soft Matter SFB1552German Research FoundationGutenberg Research Professorship underpinning his Life-Like Materials ProgramNational Science FoundationNSF-DFG Confine: Sculpting Confined Fluids for Transport Using Self-Organization and Information Transfer 509281801Volkswagen Foundation 9C 833
6 · The paper itself

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.

Indexed as

3D printingchemical reaction network theorycomputationcomputer scienceDNA nanotechnologylogic gatemicrofluidicsreservoir computingsmart hydrogelssoftware

Identifiers

PMID42272187
PMCPMC13361266

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.