Code for "Evolution of Acoustic Logic Gates in Granular Metamaterials", Parsa et al., EvoApplications 2022

Code for "Universal Mechanical Polycomputation in Granular Matter", Parsa et al., GECCO 2023

Code for "Evolving Programmable Computational Metamaterials", Parsa et al., GECCO 2022

Code for "Gradient-based Design of Computational Granular Crystals", Parsa et al.

A PyTorch framework for training neural stochastic differential equations (SDEs) to model dynamical systems with both deterministic and stochastic components. This framework enables the learning of dynamical systems through a combination of neural networks representing drift and diffusion terms, with adversarial training. Docs ⬇️

Finite-element study of quasicrystal-perforated MEMS resonators and what their mode structure can (and cannot) compute as a physical reservoir. Includes the paper.

Lab report: a symmetry selection rule for computation in phononic / quasicrystal MEMS reservoirs.

Code and movie files of myxobacteria movement modelled using P-System methodologies.

A package of simple reservoir computing tools

TopoCore is an experimental spatial execution architecture where programs are represented as traversable 2D layouts rather than linear instruction streams. Inspired by Befunge, semiotics, and semasiographic systems, it explores topology-driven control flow, direction-aware computation and non-linear execution 🕸️.