Brahmha: A Computational Framework for Intent-Driven Matter Synthesis Using Physical Tokens

Brahma is a theoretical computational framework that proposes the transformation of human intent into physical reality through programmable matter. Inspired by transformer-based artificial intelligence systems, the framework introduces Physical Tokens (PTs), the Matter Encoding Language (MEL), and a Matter Compiler capable of reasoning across physics, chemistry, and material science simultaneously. Rather than creating matter, Brahma operates strictly within the laws of physics, focusing on rearranging and structuring existing matter through computational intent. This paper establishes the foundational architecture, simulation approach, and research roadmap for intent-driven matter synthesis, positioning Brahma as a unifying paradigm for computation across both digital and physical domains. This work is presented as a preprint for academic discussion, interdisciplinary collaboration, and future experimental validation.