Results 51 to 60 of about 38,756 (312)

Perfect commuting graphs [PDF]

open access: yesJournal of Group Theory, 2016
Abstract We classify the finite quasisimple groups whose commuting graph is perfect and we give a general structure theorem for finite groups whose commuting graph is perfect.
Britnell JR, Gill N
openaire   +4 more sources

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

open access: yesAdvanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker   +5 more
wiley   +1 more source

A sharp lower bound on the signless Laplacian index of graphs with (κ,τ)-regular sets

open access: yesSpecial Matrices, 2018
A new lower bound on the largest eigenvalue of the signless Laplacian spectra for graphs with at least one (κ,τ)regular set is introduced and applied to the recognition of non-Hamiltonian graphs or graphs without a perfect matching.
Andeelić Milica   +2 more
doaj   +1 more source

OPEN PACKING NUMBER FOR SOME CLASSES OF PERFECT GRAPHS

open access: yesUral Mathematical Journal, 2020
Let \(G\) be a graph with the vertex set \(V(G)\).  A subset \(S\) of \(V(G)\) is an open packing set of \(G\) if every pair of vertices in \(S\) has no common neighbor in \(G.\)  The maximum cardinality of an open packing set of \(G\) is the open ...
K. Raja Chandrasekar, S. Saravanakumar
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

The q-perfect graphs

open access: yesLe Matematiche, 1992
Let q be a positive integer. Many graphs admit a partial coloring with q colors and a clique partition such that each of the cliques is strongly colored, that is: contains the largest possible number of different colors.
Claude Berge
doaj  

Critical perfect graphs and perfect 3-chromatic graphs

open access: yesJournal of Combinatorial Theory, Series B, 1977
AbstractThis paper builds on results based on D. R. Fulkerson's antiblocking polyhedra approach to perfect graphs to obtain information about critical perfect graphs and related clique-generated graphs. Then we prove that Berge's Strong Perfect Graph Conjecture is valid for 3-chromatic graphs.
openaire   +2 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Characterization of perfect matching transitive graphs

open access: yesElectronic Journal of Graph Theory and Applications, 2018
A graph G is perfect matching transitive, shortly PM-transitive, if for any two perfect matchings M and N of G, there is an automorphism f : V(G) ↦ V(G) such that fe(M) = N, where fe(uv) = f(u)f(v). In this paper, the author proposed the definition of PM-
Ju Zhou
doaj   +1 more source

Perfect 2-colorings of the cubic graphs of order less than or equal to 10

open access: yesAKCE International Journal of Graphs and Combinatorics, 2020
Perfect coloring is a generalization of the notion of completely regular codes, given by Delsarte. A perfect -coloring of a graph with colors is a partition of the vertex set of into m parts , . . .
Mehdi Alaeiyan, Ayoob Mehrabani
doaj   +1 more source

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