Results 131 to 140 of about 3,741,686 (304)
A low-cost parallel computing platform for power engineering applications [PDF]
This paper develops and evaluates a low-cost parallel computing platform for the implementation of parallel algorithms in Power Engineering applications.
Fung, C.C., Wong, K.P., Chow, S.Y.
core
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
This paper presents a comprehensive performance analysis and practical implementation of a parallel algorithm for constructing bifurcation diagrams of the fractional Selkov oscillator with variable coefficients and memory (SFO).
Dmitriy Tverdyi, Roman Parovik
doaj +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
The main purpose of this paper is to present a new method for the study of single fluid mixing in a stirred vessel. The simulation has been realized with a parallel implementation of the Lattice Boltzmann coloured particles model.
LUCIANO MISICI, MARA FELICI
doaj
This report records the author’s work during the project’s period. This project will study parallel graph algorithm for solving graph based problem. It will research the shortest path problems and all shortest path problems.
Nguyen, Duc Hieu.
core
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Inertial methods are widely used to accelerate the convergence of iterative algorithms for solving fixed-point problems. However, standard inertial terms often introduce undesirable oscillations, particularly in high-dimensional settings.
Supalin Tiammee +2 more
doaj +1 more source
Parallel search strategies for TSPs using a greedy genetic algorithm
Traditional genetic algorithms often meet the occurrence of slow convergence and enclosure competition. We present a parallel algorithm for the traveling salesman problem (TSP) which incorporates several greedy heuristics based on genetic algorithms.
Yingzi Wei +5 more
core +1 more source

