Results 101 to 110 of about 170,883 (277)

Virtual Network Embedding Based on the Degree and Clustering Coefficient Information

IEEE Access, 2016
The issue of virtual network (VN) embedding constitutes an important aspect of network virtualization, which is considered to be one of the most crucial techniques to overcome the Internet ossification problem.
Peiying Zhang, Haipeng Yao, Yunjie Liu
doaj   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

Advanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge, P. Sanju S. Panawala, Joseph F. S. Fernando, Zhenhuan Chen, Chao Zhang, Dong‐Chen Qi, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +8 more
wiley   +1 more source

Overlapping community discovery based on graph embedding and label propagation algorithm [PDF]

PeerJ Computer Science
Traditional label propagation algorithms (LPA) exhibit instability and poor accuracy in community discovery, primarily due to random node selection, uncertain label update sequences, and neglect of node importance variations.
Miaomiao Liu, Yuchen Liu, Yanan Hu, Jing Chen, Wenqing Zhang   +4 more
doaj   +2 more sources

QWalkVec: Node Embedding by Quantum Walk

This paper is accepted at 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024).
Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa   +3 more
openaire   +2 more sources

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

SHEEP, a Signed Hamiltonian Eigenvector Embedding for Proximity

Communications Physics
Signed network embedding methods allow for a low-dimensional representation of nodes and primarily focus on partitioning the graph into clusters, hence losing information on continuous node attributes.
Shazia’Ayn Babul, Renaud Lambiotte
doaj   +1 more source

Self-Sufficient Sensor Node Embedding 2D Visible Light Positioning through a Solar Cell Module. [PDF]

Sensors (Basel), 2022
Cappelli I, Carli F, Fort A, Micheletti F, Vignoli V, Bruzzi M.   +5 more
europepmc   +1 more source

Node Embedding Preserving Graph Summarization

ACM Transactions on Knowledge Discovery from Data
Graph summarization is a useful tool for analyzing large-scale graphs. Some works tried to preserve original node embeddings encoding rich structural information of nodes on the summary graph. However, their algorithms are designed heuristically and not theoretically guaranteed.
Houquan Zhou 0002, Shenghua Liu, Huawei Shen, Xueqi Cheng   +3 more
openaire   +1 more source

Advancing Electronic Application of Coordination Solids: Enhancing Electron Transport and Device Integration via Surface‐Mounted MOFs (SURMOFs)

Advanced Functional Materials, EarlyView.
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu, Christof Wöll, Stefan Bräse   +2 more
wiley   +1 more source