FROM MOLECULES TO MIND: SIMULATING THE FUTURE OF DATA STORAGE WITH DNA, GRAPHENE AND NEURAL ENCODING

Abstract

 In an era of explosive data generation, conventional storage systems face growing limitations in scalability, sustainability, and efficiency. This paper presents Neuron, a cross-platform simulation platform designed to explore next-generation data encoding paradigms, including DNA-based storage, graphene-based atomic memory, and brain signal-driven neural interfaces. Rather than storing data in these formats, Neuron simulates their encoding processes through interactive animations, real-time analytics, and 3D visualizations. By leveraging modern web and desktop technologies such as React.js, Tauri.js, and Supabase, the platform bridges theoretical research with practical, educational simulation. Users can upload files, initiate conversions, and visualize data transformations into DNA nucleotide sequences, graphene grid structures, and cognitive signal pathways. The system also features role-based access control, real-time dashboards, and secure file management, making it suitable for both individual learners and institutional research. This paper outlines the platform’s architecture, simulation methodology, and system design while also highlighting its significance in raising awareness about sustainable and futuristic data storage technologies. By simulating rather than implementing physical storage, Neuron serves as an interactive tool for exploring how data might one day be encoded at the molecular or neural level.