Results 101 to 110 of about 53,358 (305)

Rafting of Ni‐Based Superalloys Under Multiaxial Load as Understood by Phase‐Field Simulations and Critical Experiments

open access: yesAdvanced Engineering Materials, EarlyView.
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan   +5 more
wiley   +1 more source

Finding a Heaviest Triangle is not Harder than

open access: yes, 2008
We show that for any # > 0, a maximum-weight triangle in an undirected graph with n vertices and real weights assigned to vertices can be found in time O(n is the exponent of fastest matrix multiplication algorithm.
Artur Czumaj   +2 more
core  

Matrix multiplication on the connection machine

open access: yes, 1989
A data parallel implementation of the multiplication of matrices of arbitrary shapes and sizes is presented. A systolic algorithm based on a rectangular processor layout is used by the implementation.
T. Harris   +5 more
core   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Dualmatrix: conquering zkSNARK for large matrix multiplication

open access: yesCybersecurity
We present DualMatrix, a zkSNARK solution for large-scale matrix multiplication. Classical zkSNARK protocols typically underperform in data analytic contexts, hampered by the large size of datasets and the superlinear nature of matrix multiplication ...
Mingshu Cong, Tsz Hon Yuen, Siu Ming Yiu
doaj   +1 more source

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

HPL-MxP Multiple lookahead Optimization for Kunpeng Processors [PDF]

open access: yesJisuanji gongcheng
The HPL-MxP benchmark program is widely used for measuring the computational power of supercomputers in mixed-precision computing. Subject to the parallel implementation algorithm of this program, the selection of the matrix Numerical Block (NB) value of
GAO Ang, WANG Yinshan, YAN Wen, SONG Changcheng, WANG Long, YAO Erlin
doaj   +1 more source

Rectangular Matrix Multiplication Revisited

open access: yesJournal of Complexity, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Microstructure‐Controlled Crack Propagation and Fracture Resistance in MoSiBTiC Alloy Revealed by Multiscale Extended Finite Element Method Modeling

open access: yesAdvanced Engineering Materials, EarlyView.
A two‐dimensional multiscale finite element analysis framework was established for the first‐generation MoSiBTiC alloy, and the mechanical and fracture‐related parameters of the constituent phases were calibrated through experiments and simulations. The framework provides a basis for analyzing crack propagation behavior in its complex microstructure ...
Junfeng Du   +4 more
wiley   +1 more source

On the Capacity and Straggler-Robustness of Distributed Secure Matrix Multiplication

open access: yesIEEE Access, 2019
Computationally efficient matrix multiplication is a fundamental requirement in various fields, including and particularly in data analytics. To do so, the computation task of large-scale matrix multiplication is typically outsourced to multiple servers.
Jaber Kakar   +2 more
doaj   +1 more source

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