The Beyond Symbiosis series explores the integration of non-human biological organisms and Artificial Intelligence as performance-driven co-creators in a more-than-human design future. Unlike traditional human-centered views that often see nature as just a resource and technology as a passive tool, this project promotes collaboration among the human designer, genetic algorithms, and the biological agency of Ganoderma lucidum. This study asks: “How can AI-driven evolutionary solvers and proximity algorithms optimise internal aeration networks and surface typologies to enhance the performance of mycelium-based composite (MBC) acoustic panels”.
To answer this, we introduce a hybrid computational design and fabrication framework, designed to bridge digital optimization with living material constraints. Within the parametric environment of Rhino-Grasshopper, an evolutionary solver is developed based on genetic algorithms, to optimise the superficial pattern of the panels. The solver’s fitness parameters are informed by the open-source Pachiderm (Rhino plug-in) simulations and acoustic analysis of a default 6x4x3m space, resembling a reverberation room setup (Fig. 1). This evolutionary loop generates a series of design solutions (Fig. 2). The panels’ pattern acts as an acoustically tuned, AI-optimised surface designed to promote sound diffusion. Additionally, a proximity algorithm is developed to generate a 3D printable internal aeration scaffold (Fig. 3). The scaffold structure is optimised by the use of a similar evolutionary solver, to evenly spread within the panel. This hollow structure acts as a vascular network of localised oxygen flow, aiming to enhance the biological growth of G. lucidum, and the overall acoustic performance of the panel.
Crucially, the physical translation of this digital framework is articulated to be scalable, accessible and replicable within a standard Fab Lab setup, aiming to promote open innovation and circular economy. Initially, the macro-geometry of the MBC panel is digitally fabricated by a CNC milling machine on MDF. Then, the panel is vacuum formed on PET sheets of 0.7mm thickness. The internal aeration scaffold is fabricated using a desktop 3D printer of 30x30x30cm volume, and a biodegradable wood PLA filament. During the incubation phase, the inoculated mycelium substrate is patched into the modular system. The wood-PLA scaffold is placed layered in between the mycelium substrate, allowing the G. lucidum to grow all around and fully integrate it within the MBC panel. The overview is a highly textured ecological aesthetic, where digital precision merges with the mycelial growth. As a result, there are two prototyped panels, one of overall dimensions 15x15cm (Fig. 4), and another 40x40cm (Fig. 5). The first, small panel sample was used as an initial proof of concept, while the full-scale panel confirmed the scalability of the process in terms of volume.
While the acoustic performance of the resulting architectural morphologies is currently validated through acoustic simulations, this study showcases a highly reproducible bio-fabrication methodology. It prioritises functional, full-scale prototypes prepared for future validation via physical impedance tube testing, and reverberation room testing. This workflow proves that algorithmic intelligence and biological organisms can effectively co-author functional acoustic panels. Ultimately, the series gives a glimpse into a future where our built spaces are not just made but grown, promoting a sustainable built environment.