Results 91 to 100 of about 885,664 (282)

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

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

Elastic‐Wave Propagation in Chiral Metamaterials: A Couple‐Stress Theory Perspective

open access: yesAdvanced Engineering Materials, EarlyView.
The intrinsic chirality of chiral metamaterials renders an effective medium based on the classical continuum theory ineffective for predicting their acoustic activity. This limitation is addressed in the present study by employing augmented asymptotic homogenization to derive a couple‐stress‐based effective medium, enabling accurate predictions in the ...
Shahin Eskandari   +5 more
wiley   +1 more source

The Scheduling Model Based on Precedents

open access: yesЦифровая трансформация, 2015
The paper presents an approach for university scheduling based on precedents. The model is based on the mathematical apparatus of the theory of graphs. The model uses the principles of finding and proof of the graph isomorphism. The process of finding of
S. Nesterenkov
doaj   +2 more sources

Metric based resolvability of cycle related graphs

open access: yesAIMS Mathematics
If a subset of vertices of a graph, designed in such a way that the remaining vertices have unique identification (usually called representations) with respect to the selected subset, then this subset is named as a metric basis (or resolving set).
Ali N. A. Koam
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, EarlyView.
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

Automorphism group of the modified bubble-sort graph [PDF]

open access: yesarXiv, 2014
The modified bubble-sort graph of dimension $n$ is the Cayley graph of $S_n$ generated by $n$ cyclically adjacent transpositions. In the present paper, it is shown that the automorphism group of the modified bubble sort graph of dimension $n$ is $S_n \times D_{2n}$, for all $n \ge 5$. Thus, a complete structural description of the automorphism group of
arxiv  

Method and algorithm of decomposition for the synthesis of programs of control of electrical equipment complex objects

open access: yesВестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2017
The article considers dimension problems of electrical equipment complex objects in developing test programs in the context of programming diagnostic tasks.
Ju. V. Myasnikova
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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