SIMULATING NEXT-GENERATION DATA STORAGE ARCHITECTURES USING DNA, GRAPHENE, AND NEURAL ENCODING
Abstract
In today’s data-driven world, the rapid growth of digital information is placing increasing pressure on traditional storage technologies, which struggle to meet demands for scalability, energy efficiency, and long-term sustainability. To address these emerging challenges, this paper introduces Neuron, a cross-platform simulation environment developed to examine future-oriented data encoding concepts such as DNA-based storage, graphene-inspired atomic memory, and neural signal–driven interfaces. Instead of physically storing data in these advanced media, Neuron focuses on simulating their encoding mechanisms through interactive animations, real-time analytical feedback, and immersive 3D visual representations. The platform is built using contemporary web and desktop frameworks, including React.js, Tauri.js, and Supabase, allowing it to effectively connect theoretical research with hands-on educational exploration.
Within Neuron, users can upload digital files, initiate encoding simulations, and observe how data may be transformed into DNA nucleotide patterns, graphene-like grid formations, or neural signal pathways. The system incorporates features such as secure file handling, role-based user access, and real-time dashboards, making it suitable for both independent learners and academic or research institutions.
This paper presents the overall system architecture, simulation techniques, and design principles behind Neuron, while emphasizing its role in promoting awareness and understanding of sustainable and futuristic data storage paradigms. By offering simulation rather than physical implementation, Neuron provides an accessible and interactive means to explore how digital information could one day be represented at molecular or neural levels.Index Terms—DNA Encoding, Graphene Memory, Neural Data Simulation, Brain-Computer Interface, Cloud Simulation, Tauri.js, Supabase, Real-Time Visualization, Role-Based Access Control
