Results 101 to 110 of about 475,597 (298)

Mixed metric dimension of hollow coronoid structure

open access: yesAin Shams Engineering Journal, 2023
Coronoid systems actually arrangements of hexagons into six sides of benzenoids. By nature, it is an organic chemical structure. Hollow coronoids are primitive and catacondensed coronoids. It is also known as polycyclic conjugated hydrocarbons.
Ali N.A. Koam   +3 more
doaj  

StahlDigital: Ontology‐Based Workflows for the Steel Industry

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
The strength of the steel industry is based on the mastery of microstructure–property relationships. Digital workflows contribute to this aim by making the complexity of workflows reproducible and their execution user independent. The tools and workflows developed in the project StahlDigital as part of the German MaterialDigital initiative are ...
Franz Roters   +18 more
wiley   +1 more source

Modular graph functions and odd cuspidal functions. Fourier and Poincaré series

open access: yesJournal of High Energy Physics, 2019
Modular graph functions are SL(2, ℤ)-invariant functions associated with Feynman graphs of a two-dimensional conformal field theory on a torus of modulus τ. For one-loop graphs they reduce to real analytic Eisenstein series. We obtain the Fourier series,
Eric D’Hoker, Justin Kaidi
doaj   +1 more source

Atomic-scale one-dimensional materials identified from graph theory [PDF]

open access: green, 2021
Shunning Li   +8 more
openalex   +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

On Study of Multiset Dimension in Fuzzy Zero Divisor Graphs Associated with Commutative Rings

open access: yesInternational Journal of Computational Intelligence Systems
In this paper, we introduce the concept of fuzzy zero divisor graph (FZDG) for a commutative ring $$R$$ R denoted by $${\Gamma }_{f}\left(\text{R}\right)$$ Γ f R .
Nasir Ali   +5 more
doaj   +1 more source

The Viability of the Refractory High‐Entropy Alloy AlMo0.5NbTa0.5TiZr for High‐Temperature Structural Applications

open access: yesAdvanced Engineering Materials, Volume 27, Issue 9, May 2025.
Refractory high‐entropy alloys have attracted substantial attention for future ultrahigh‐temperature structural applications. Here the progression of key phase transformations in AlMo0.5NbTa0.5TiZr is established and correlated to the mechanical performance, highlighting the importance of the B2 phase.
George J. Wise   +5 more
wiley   +1 more source

Honeycomb Rhombic Torus Vertex-Edge Based Resolvability Parameters and Its Application in Robot Navigation

open access: yesIEEE Access
In the aircraft sector, honeycomb composite materials are frequently employed. Recent research has demonstrated the benefits of honeycomb structures in applications involving nanohole arrays in anodized alumina, micro-porous arrays in polymer thin films,
Sidra Bukhari   +3 more
doaj   +1 more source

Research on Fractal Characterization of Data Transmission Performance of Hard Disk

open access: yesMATEC Web of Conferences, 2018
The data transfer rate is the traditional criterion for evaluating the overall performance of a hard disk. In this paper, the data transmission performance of hard disk was characterized based on fractal theory.
Jiang Wei, Ji Cuicui, Dai Yuntian
doaj   +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

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