|Digital Matter
|Alive Shape Sensing Membrane
Chitosan as the future of water filtration system
|Team
Ardeshir Talaei, , Soroush Garivani, Daniil Koshelyuk
|Faculty
Areti Markopoulou, David Andres Leon, Raimund Krenmueller, Angelos Chronis
|Project year
2017-18
The research Alive shape sensing membrane delves into the convergence of graphene-based material systems and artificial intelligence algorithms, specifically focusing on the development of smart architectural membrane elements. Grounded in a bottom-up approach, the investigation capitalizes on graphene’s extraordinary properties, particularly its electrical conductivity. Through the integration of AI algorithms, the study aims to train these graphene-based membranes to interpret and respond to various environmental stimuli, particularly wind actuation scenarios
research explores possibilities of graphene material systems enhanced with artificial intelligence algorithms in context of smart architectural membrane elements addressing performable augmentation of structural and environmental behavior, in particular focusing on scenarios involving wind actuation
The overarching intent is to create adaptive structures that not only function as passive separators but also possess inherent intelligence, enabling them to dynamically adjust and interact with their surroundings, thereby revolutionizing the concept of responsive architecture in our urban and local spaces.
The amalgamation of graphene with AI algorithms marks a significant leap in material intelligence, paving the way for dynamic architectural solutions. The inherent conductivity of graphene, when coupled with AI-driven training, allows these membranes to respond adaptively to stimuli such as wind, pressure, and touch. The material’s ability to undergo specific deformations and its subsequent conductivity variations forms the backbone of its responsive behavior, enhancing its applicability in various scenarios within architectural and wearable technology domains.
In embracing the synergy between graphene’s properties and AI algorithms, this research heralds a new era in material science and architecture. The envisioned smart architectural membranes, empowered with inherent intelligence, offer vast potential in creating adaptable structures that dynamically engage with their environments. This convergence of material science, artificial intelligence, and architecture not only ushers in a realm of responsive built environments but also fosters a paradigm shift towards interconnected, interactive urban spaces that cater to both human needs and environmental dynamics.
