Evidence map›Paper›PMID 41476370›Full record

ArticleBiophysical journal2026

Simulation of reaction-diffusion equations with reaction-reaction analog circuits.

Nathan Green, Douglas Beahm, Anthony Cressman, Jacob Denbeaux, Shouka Tavakolian, Rahul Sarpeshkar

Abstract read
In one paragraph

Article in Biophysical journal, 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

6 authors.

Nathan GreenThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Douglas BeahmThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Anthony CressmanDepartment of Physics, Dartmouth College, Hanover, New Hampshire.
Jacob DenbeauxDepartment of Computer Science, Dartmouth College, Hanover, New Hampshire.
Shouka TavakolianSchool of Undergraduate Arts and Sciences, Dartmouth College, Hanover, New Hampshire.
Rahul SarpeshkarThayer School of Engineering, Dartmouth College, Hanover, New Hampshire; Department of Physics, Dartmouth College, Hanover, New Hampshire; The Geisel School of Medicine, Department of Microbiology and Immunology, Dartmouth College, Hanover, New Hampshire; The Geisel School of Medicine, Department of Molecular and Systems Biology, Dartmouth College, Hanover, New Hampshire. Electronic address: rahul.sarpeshkar@dartmouth.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 1952, Alan Turing showed that analog reaction-diffusion equations were extremely powerful models of biological development and of distributed cellular automata. Analog circuits have been shown to accelerate the simulation of chemical reactions by many orders of magnitude, including in stochastic (noisy) cytomorphic chips, which are useful for drug-cocktail formulation and in systems medicine. However, the simulation of the partial differential equations of diffusion is expensive to architect in analog systems. Here, we show how to simulate diffusion as though it were a chemical reaction such that reaction-reaction analog systems can simulate reaction-diffusion systems. As an example, we show that the BMP-SOX9-WNT reaction-diffusion system can be simulated in analog cytomorphic integrated circuits that only have reaction circuits but no explicit diffusion circuits. Experimental data from reaction-reaction circuits show excellent agreement with MATLAB and COPASI simulations of biological models. Even cytomorphic chips with relatively sparse sampling appear to demonstrate decaying and unstable growing waves. Our work is the first step toward large-scale simulations of spatiotemporal reaction-diffusion equations.

Indexed as

Computer SimulationModels, BiologicalDiffusion

Identifiers

PMID41476370
PMCPMC13351851

What OpenQuestion holds

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Registered trials

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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.