Results 51 to 60 of about 5,965 (204)
Chirality Transfer via Orientational Order of Micellar Assemblies on Gold Nanocrystals
A mechanism for chiral growth of Au nanocrystals mediated by orientational order of chiral micelles at seed surfaces is demonstrated. 3D electron microscopy and molecular dynamics simulations reveal how alignment of the micelles along crystal directions and torsion–orientation coupling govern chirality transfer, providing a framework to rationalize ...
Robin Girod +8 more
wiley +1 more source
New constructions of nonregular cospectral graphs
We consider two types of joins of graphs G1{G}_{1} and G2{G}_{2}, G1⊻G2{G}_{1}\hspace{0.33em}⊻\hspace{0.33em}{G}_{2} – the neighbors splitting join and G1∨=G2{G}_{1}\mathop{\vee }\limits_{=}{G}_{2} – the nonneighbors splitting join, and compute ...
Hamud Suleiman, Berman Abraham
doaj +1 more source
The coalescence of multi-wheel and starlike graphs is DLS [PDF]
The Laplacian spectrum of a graph is obtained by taking the difference of the adjacency spectrum from the diagonal matrix of degrees. If a graph has a unique Laplacian spectrum, it means that it can be identified by this spectrum, it is called $DLS ...
Mohammad Hasan Ahangarani Farahani +1 more
doaj +1 more source
Spectrum of the Laplacian with weights [PDF]
Given a compact Riemannian manifold (M, g) and two positive functions $ $ and $ $, we are interested in the eigenvalues of the Dirichlet energy functional weighted by $ $, with respect to the L 2 inner product weighted by $ $. Under some regularity conditions on $ $ and $ $, these eigenvalues are those of the operator $ $^{-1} div($ $$\nabla$u)
Bruno Colbois, Ahmad El Soufi
openaire +3 more sources
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Color signless Laplacian energy of graphs
In this paper, we introduce the new concept of color Signless Laplacian energy . It depends on the underlying graph and the colors of the vertices. Moreover, we compute color signless Laplacian spectrum and the color signless Laplacian energy of families
Pradeep G. Bhat, Sabitha D’Souza
doaj +1 more source
On Laplacian spectrum of dendrite trees [PDF]
18 pages, 5 figures and 3 ...
Xu, Yuyang, Yao, Jianfeng
openaire +2 more sources
The Laplacian spectrum of weighted composite networks and the applications
The topological properties of the networks can be described by the Laplacian spectra, but resolving the Laplacian spectra of networks poses difficulties. In this study, a novel approach for solving the Laplacian spectrum of weighted composite networks is
Jian Zhu +3 more
doaj +1 more source
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
Selective Sequestration of Toxic NOx Gases by P‐Doped Graphene: A Density Functional Theory Study
P‐doped graphene (P‐grap) is explored as an NOx sensor through DFT simulations. The analysis of its geometry, binding energies, electronic properties, and atom‐in‐molecule characteristics demonstrates that P‐grap is a selective sensor for NOx among a mixture of various gases.
Anwar Ali +3 more
wiley +1 more source

