Topological insights into breast cancer drugs: a QSPR approach using resolving topological indices. [PDF]
Pandeeswari E, Ravi Sankar J.
europepmc +1 more source
Invariance of Topological Indices Under Hilbert Space Truncation [PDF]
Zhoushen Huang +4 more
openalex +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Applications of Sombor topological indices and entropy measures for QSPR modeling of anticancer drugs: a Python-based methodology. [PDF]
Kara Y +3 more
europepmc +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Prediction of suitable drug for keloid through analytic hierarchy process and topological indices. [PDF]
Janagi K +3 more
europepmc +1 more source
Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia +3 more
wiley +1 more source
On statistical analysis of topological indices and heat of formation for titanium diboride network. [PDF]
Ismail R +5 more
europepmc +1 more source
M-Polynomials and Degree-Based Topological Indices of VC5C7[p,q] and HC5C7[p,q] Nanotubes [PDF]
Jia‐Bao Liu +4 more
openalex +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source

