Results 111 to 120 of about 308,108 (251)

APPLICATION OF SIMD-INSTRUCTIONS TO INCREASE THE EFFICIENCY OF NUMERICAL METHODS FOR SOLVING SLAE

Компютерні системи та інформаційні технології
Computational efficiency has become a key factor in progress across many fields of science and technology. However, traditional methods for improving the performance of computational systems have reached their limits, necessitating the search for new ...
Oleg ZHULKOVSKYI, Inna ZHULKOVSKA, Hlib VOKHMIANIN, Alexander FIRSOV, Illia TYKHONENKO   +4 more
doaj   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Deterministic Detection of Single Ion Implantation

Advanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead, Lok Kan Wan, Maddison Coke, Janet Jacobs, Nicholas F. L. Collins, Mark C. Rosamond, Richard J. Curry   +6 more
wiley   +1 more source

An Analytical-Numerical Method for the Solution of Nonlinear Fractional Fredholm Integro-Differential Equations With Logarithmic Weakly Singular Kernel

Journal of Mathematics
In this work, we investigate a numerical method for solving nonlinear fractional Fredholm integro-differential equations with logarithmic weakly singular kernels.
Ali Edham Awadh, Esmaeil Najafi
doaj   +1 more source

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

Advanced 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

Numerical Investigation of Preconditioning for Iterative Methods in Linear Systems Obtained by Extended Element-Free Galerkin Method

Journal of Advanced Simulation in Science and Engineering, 2016
Taku Itoh, Ayumu Saitoh, Soichiro Ikuno, Atsushi Kamitani   +3 more
openaire   +2 more sources

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

Advanced 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

A Robust and Versatile Numerical Framework for Modeling Complex Fractional Phenomena: Applications to Riccati and Lorenz Systems

Fractal and Fractional
The fractional differential quadrature method (FDQM) with generalized Caputo derivatives is used in this paper to show a new numerical way to solve fractional Riccati equations and fractional Lorenz systems.
Waleed Mohammed Abdelfattah, Ola Ragb, Mohamed Salah, Mokhtar Mohamed   +3 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Low-Complexity SAOR and Conjugate Gradient Accelerated SAOR Based Signal Detectors for Massive MIMO Systems

Applied System Innovation
A major challenge for massive multiple-input multiple-output (MIMO) technology is designing an efficient signal detector. The conventional linear minimum mean square error (MMSE) detector is capable of achieving good performance in large antenna systems ...
Imran A. Khoso, Mazhar Ali, Muhammad Nauman Irshad, Sushank Chaudhary, Pisit Vanichchanunt, Lunchakorn Wuttisittikulkij   +5 more
doaj   +1 more source