A String-Graph Approach to Molecular Geometry

TL;DR

This paper proposes a novel approach combining string theory, graph theory, and macrotensor methods to model molecular geometry and phase changes, aiming to enhance understanding and prediction of material behaviors.

Contribution

It introduces a new framework applying string and graph theories with macrotensor operators to describe molecular structures and phase transitions more dynamically.

Findings

Allows calculation of molecular angles via graph representations.

Proposes inequalities based on energy-momentum densities for phase change analysis.

Suggests potential for discovering new states of matter through topological methods.

Abstract

Introduction: molecular geometry, the three-dimensional arrangement of atoms within a molecule, is fundamental to understanding chemical reactivity, physical properties, and biological activity. The prevailing models used to describe molecular geometry include the Valence Shell Electron Pair Repulsion (VSEPR) theory, hybridization theory, and molecular orbital theory. While these models provide significant insights, they also have inherent limitations. Applying string theory and graph theory with topological and macrotensorial methods could improve the understanding of molecular behavior. Objective: explore the potential applications of string and graph theory to material science, focusing on molecular geometry, electron domains, and phase changes via symmetries. Molecular geometry: each molecule is associated with a simple graph with an orthonormal representation inducing metrics via the usage of macrotensor operators, allowing the calculation of angles between molecules and following the equations of motion. Phase changes: a series of inequalities are proposed depending on the energy-momentum densities of bonds and the edges of the associated graph where electrons or atoms are located, its topology, and isometries, exploring possible new states of matter. Conclusions: application of macrotensors, graphs, string theory, partitions, and correlation functions of dimensions to material science, specifically to molecular geometry and phase changes, allows for a more dynamic and flexible description of natural phenomena involving matter and the prediction of possible new states of matter as other forms of condensates. This presents a different perspective, opening possibilities for Experimental confirmation, applications, simulations of examples and further refinement of the presented approach are anticipated, which could be transformative for material science.