RDCSim: a GPU-Accelerated, Interactive Simulator for Reaction--Diffusion Chemistry
James Stovold

TL;DR
RDCSim is a GPU-accelerated, interactive reaction-diffusion simulator designed to enhance reproducibility and ease of use in RDC research, verified through classic logical and diode examples.
Contribution
The paper introduces RDCSim, a novel GPU-based interactive simulator that automates parameter storage to improve reproducibility in reaction-diffusion chemistry studies.
Findings
Successfully simulates logical AND gates and chemical diodes
Enhances reproducibility by automating parameter storage
Provides an interactive platform for RDC research
Abstract
This paper presents RDCSim, an interactive simulator for reaction--diffusion chemistry (RDC) research, being developed as part of an ongoing project studying how humans interact with unconventional computing systems. While much research into the computational properties of RDC makes use of simulations, the development of multiple RDC simulations across different research groups can lead to results that are harder to reproduce. By automating the storage of parameter values alongside simulation results, RDCSim aims to make reproducing RDC results painless. This paper presents the functionality of RDCSim, and verifies the behaviour of the underlying chemical simulation using two seminal examples from the RDC literature: logical AND gates and chemical diodes.
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Taxonomy
TopicsGene Regulatory Network Analysis · Slime Mold and Myxomycetes Research · Nonlinear Dynamics and Pattern Formation
