Graph Representations of Nanostructured Hedgehog Particles with Variable Complexity.

ABSTRACT: Graph-theoretical (GT) representations, conceptually analogous to chemical formulas, offer a powerful and versatile framework for describing the structure of nanomaterialsincluding complex assemblies with nano-, meso-, and microscale organization. GT formulas of nanostructures can capture repetitive structural patterns that combine both order and disorder needed to attain the desired combination of properties. These repetitive structural patterns are extracted from microscopy, spectroscopy, and diffractometry. However, methods for constructing GT models of complex particles with diverse geometries and architectures remain underdeveloped, as do approaches linking graph features to material properties. In this work, we address these gaps using hedgehog particles (HPs)nanostructured colloid

SUBMITTER: Montjoy DG 

PROVIDER: S-EPMC12392442 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature