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Dr. Dawson's technique for simulating plasmas on computers, called the particle-in-cell computer model, has helped to expand plasma research, which today has applications as diverse as energy production and air pollution control.
We show that this algorithm is a hybrid method which uses a particles-in-cell description in r z and a gridless description in ϕ.
We have developed a simulation method withbothelectrons and ions represented as particles-in-cell, in which the electrostatic field is determined from the requirement of quasineutrality rather than from Poisson's equation.
Results obtained on a 64-node Cray T3D clearly show the details of particle acceleration in phase space, including very low density regions where particles-in-cell (PIC) codes simply run out of calculation particles.
We have designed Particle-in-Cell algorithms for emerging architectures.
Two new particle split and merge methods are presented for electromagnetic Particle-in-Cell codes.
A three-dimensional, incompressible, multiphase particle-in-cell method is presented for dense particle flows.
Particle-in-cell (PIC) simulation is widely used in many branches of physics and engineering.
The particle-in-cell (PIC) method has been widely used in computational plasma physics.
The Monte-Carlo based particle-in-cell method is used in the vicinity of the cathode.
The simulation included particle-in-cell (PIC), Monte Carlo (MC) and Vlasov equation components.
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