Results 131 to 140 of about 2,422,838 (348)

Enumeration of labelled chain graphs and labelled essential directed acyclic graphs

open access: yesDiscrete Mathematics, 2003
AbstractA chain graph is a digraph whose strong components are undirected graphs and a directed acyclic graph (ADG or DAG) G is essential if the Markov equivalence class of G consists of only one element. We provide recurrence relations for counting labelled chain graphs by the number of chain components and vertices; labelled essential DAGs by the ...
openaire   +2 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

On d-graceful labelings

open access: yes, 2012
In this paper we introduce a generalization of the well known concept of a graceful labeling. Given a graph G with e=dm edges, we call d-graceful labeling of G an injective function from V(G) to the set {0,1,2,..., d(m+1)-1} such that {|f(x)-f(y)| | [x,y]
Pasotti, A.
core  

Effect of Thermomechanical Processing on the Impact Deformation of Additively Manufactured 316L Stainless Steel

open access: yesAdvanced Engineering Materials, EarlyView.
Previous studies on additive manufacturing primarily focus on the mechanical properties of as‐printed components. In the present work, researchers explore the potential of employing novel thermomechanical postprocessing techniques to improve the microstructure after printing.
Radim Kocich   +3 more
wiley   +1 more source

Titanium‐S23: A New Alloy with Ultra‐High Tensile Toughness Directly from the Solid‐State Processing of Recycled Ti–6Al–4V and Ti–5Al–5Mo–5V–3Cr Powders using Field Assisted Sintering Technology

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores combining two existing aerospace titanium alloy powders, processing them via field‐assisted sintering technology and the subsequent discovery of a novel alloy composition, termed S23, with ultra‐high tensile toughness. Fine‐scale alpha precipitates favorably form in the alloy despite the relatively slow cooling, providing an ...
Samuel Lister   +2 more
wiley   +1 more source

The Reflexive H-Strength on Some Graphs

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi
Let G be a connected, simple, and undirected graph with a vertex set V(G) and an edge set E(G).  The irregular reflexive -labeling is defined by the function  and  such that  if  and  if , where  max .
Lusia Herni Sullystiawati   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy