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On the parallelization of multipacting simulation codes for the design of particle accelerator components
Particle trajectory and collision simulation is a critical step of the design and construction of novel particle accelerator components. However it...
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Lagrangian particle-based simulation of waves: a comparison of SPH and PFEM approaches
Lagrangian numerical methods are particularly suitable to reproduce flows involving large and rapid deformation of the domain, fluid splitting and...
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An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length
In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant....
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Three-dimensional numerical simulation of particle acoustophoresis: COMSOL implementation and case studies
As a microfluidic-based noncontact manipulation and separation technique, acoustophoresis is the motion of the particles or cells within a host fluid...
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Numerical simulation of Burger’s equation using a particle swarm optimization
The process of optimization implies maximizing the advantages of a mathematical function or system while minimizing its shortcomings. Optimizing the...
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Optimizations for predictive–corrective particle-based fluid simulation on GPU
The use of particles-based simulations to produce fluid animations is nowadays a frequently used method by both the industrial and research sectors....
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Transformer with Implicit Edges for Particle-Based Physics Simulation
Particle-based systems provide a flexible and unified way to simulate physics systems with complex dynamics. Most existing data-driven simulators...
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Machine Learning in Particle Physics
This note surveys developments in particle physics due to advances made in the fields of statistics, machine learning, and artificial intelligence....
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Dual-mechanism surface tension model for SPH-based simulation
We present an innovative Lagrangian dual-mechanism model for simulating versatile surface tension phenomena, designed to replicate the intricate...
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An improved resampling particle filter algorithm based on digital twin
The problem of weight degradation is inevitable in particle filtering algorithms, and the resampling approach is an important method to reduce the...
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Chaotic Particle Swarm Algorithm for QoS Optimization in Smart Communities
In smart communities, computer networks carry a large number of real-time computing tasks such as smart property, smart parking, smart home, etc.,...
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SWSPH: A Massively Parallel SPH Implementation for Hundred-Billion-Particle Simulation on New Sunway Supercomputer
Fluid instability plays a fundamental role in the research of astrophysics, energy power, chemical industry and new materials. The Smoothed Particle...
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Reversed particle filtering for hidden markov models
We present an approach to selecting the distributions in sampling-resampling which improves the efficiency of the weighted bootstrap. To complement...
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Multi-scale graph neural network for physics-informed fluid simulation
Learning-based fluid simulation has proliferated due to its ability to replicate the dynamics with substantial computational savings over traditional...
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Calculation of Stress Intensity Factors Under Mode-I Using Total Lagrangian Smoothed Particle Hydrodynamics
This paper presents a study on calculating Stress Intensity Factors (SIFs) under mixed mode using a simulation method based on Smoothed Particle...
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Particle swarm optimization-based subsea cable electromagnetic detection by autonomous underwater vehicle
Subsea cables are widely used for power and information transmission in offshore infrastructure such as global communication networks and offshore...
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A cloud service composition method using a fuzzy-based particle swarm optimization algorithm
In today's dynamic business landscape, organizations heavily rely on cloud computing to leverage the power of virtualization and resource sharing....
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Highway Engineering Cost Evaluation Algorithm Based on Improved Particle Swarm Optimization Evolutionary Computation
In order to solve the problems of calculation speed and accuracy in highway engineering cost evaluation algorithm, a highway engineering cost...
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Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm
In this paper, the global path planning research is carried out using particle swarm algorithm in combination with the characteristics of unmanned...
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Energy-Efficient Task Scheduling in Fog Computing Based on Particle Swarm Optimization
Recently, continuous growth in use of Internet of Things (IoT) produces huge amount of data during processing, which increases load on Cloud...
