Motif Code Theory: A Graph-Based Framework for Unifying M-theory and Calabi–Yau Compactifications in Supersymmetric Dynamics and Gravitational Wave Signatures

The <i>Motif Code Theory (MCT)</i> research develops a new way to study the universe’s fundamental particles and forces using a network-based approach. It models particle interactions as a graph, where nodes represent particles (with properties like position and mass) and edges show how they interact, influenced by advanced physics theories like M-theory and Calabi-Yau compactification. Using a powerful computer model (Transformer Graph Model), it detects specific patterns (like loops of 3 to 12 particles or feed-forward loops) in these networks. The research predicts gravitational wave signals and key physical quantities, including neutrino masses, and uses optimizations like sparsity and quantization to handle massive networks (up to 10 billion nodes). This work connects particle physics, cosmology, and computational methods to explore the universe’s structure and test theories with future experiments like LISA.