Topological Indices and Entropy for Radiation Detectors and Material Property Prediction
This community develops mathematical descriptors—specifically topological indices and entropy measures—to model the structure and properties of materials, with a strong focus on semiconductor crystals for radiation detection and the thermodynamic behavior of oxides and carbides.
The work centers on applying graph-theoretic metrics to predict physical characteristics. Recurring subjects include thallium bromide and silicon carbide, which are studied for their performance as radiation detectors and X-ray imaging components. The methodology frequently involves curve fitting and regression models to correlate these topological descriptors with heat of formation and other thermodynamic properties. This approach is applied to a range of materials, including bismuth compounds and various oxide networks, to establish quantitative relationships between molecular structure and physical behavior.
The largest share of the community's output is found in iodine research, accounting for 0.7% of all iodine studies, and thallium research, where it represents 2.1% of the total. Iodine also contributes the highest number of papers within this group, with 287 entries, while thallium follows with 92.
The community comprises 745 papers, published primarily in IEEE Transactions on Nuclear Science, Journal of Crystal Growth, and Nuclear Instruments and Methods in Physics Research Section A. Recent work continues to apply these topological and entropy-based models to silicon carbide networks, tin oxide, and titanium tetraboride, while also refining the energy resolution of thallium bromide detectors for gamma-ray applications.