molekululegra
Molekululegra is a cross-disciplinary concept that focuses on the representation and analysis of molecular structures using graph-like models and associated energy landscapes. Proponents describe it as an approach that combines experimental data with computational methods to map how atoms connect and interact within a molecule, and how these connections influence properties and reactivity. The term is a neologism that blends the word molecule with graph (and related notions of topology). It has appeared in specialized publications and online discussions since the early 2020s, but it is not yet standardized or widely adopted in formal curricula.
Methods typically involve integrating spectroscopic and imaging data (for example Raman or infrared spectra, and nanoscale
Applications span structural elucidation, mechanism studies in catalysis, materials science, drug design, and molecular electronics. Limitations