Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.
A ros package that takes a pattern image as input and generate coordinate data of points that will be traced by drones to form that pattern in air
Simulate swarms of mobile agents in 2D and 3D.
Swarm Formation from Hand-Drawn Patterns using Signed Distance Fields
models of 2D reaction-diffusion systems
Assorted Matlab codes for the paper 'Dihedral rings of patterns emerging from a Turing bifurcation' by D.J. Hill, J.J. Bramburger and D.J.B. Lloyd (2022).
Classification of pattern images based on Lengyel-Epstein model
Multi-Architecture Coupled Ensemble Physics-Informed Neural Networks (MACE-PINN) for solving coupled partial differential equations. Implements parallel subnetworks with Fourier embeddings and adaptive loss weighting for Gray-Scott and Ginzburg-Landau reaction-diffusion systems.
Associated Matlab codes for the paper `Approximate Localised Dihedral Patterns Near a Turing Instability', by D.J. Hill, J.J. Bramburger & D.J.B. Lloyd, 2022.
Mathematical Model For Self-Organization of Human Embryonic Stem Cells
ABM of Physarum tranport networks
Math REU Summer 2025
Pattern formation process with Gray-Scott reaction diffusion model in 2 spatial dimension
Symswarm is a symmetrical modular pattern formation algorithm which is for used to construct a symmetrical pattern among multiple mobile robots. The modular algorithm is divided into two phases where first phase is self guided independent phase and second phase is the swarm coordination phase between robots.
Codes used in the company's studies on disorder and self-organisation.
A repository for the final project in MathBio class, exploring the dynamics of natural pattern adaptation through the lens of a cellular automata model. Contains code, documentation, and resources related to the project.
Studying the role of pre-patterns in self-organization
Associated Matlab codes for the paper `Predicting the emergence of localised dihedral patterns in models for dryland vegetation', by D. J. Hill, 2023
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