Particle-based simulation: An algorithmic perspective

Saraniti, Marco; Aboud, Shela; Branlard, Julien; Goodnick, Stephen M.

doi:10.1007/s10825-006-0030-9

Cited by 3 publications

(7 citation statements)

References 37 publications

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“…More sophisticated models that includes high field and high energy effects as well as short timescale phenomena, include hydrodynamic transport models that go beyond the Boltzmann transport equation (see for example Ref. 2 in [14]), as well as particle based Monte Carlo models [14,15]. See also [16] for an example of coupling and comparison of hydrodynamic and Monte Carlo models.…”

Section: Fig 2 Transmission Electron Microscope (Tem) Image Of a Hementioning

confidence: 99%

“…To analyze existence and uniqueness of solutions to (13)- (15), under boundary conditions (29)-(33), one uses Slotboom variables ψ, u, v.…”

Section: Well-posedness In a Single Materialsmentioning

confidence: 99%

“…FD formulation of the system (13)- (15). We recall uniform point-centered grid discretization of (13) which at node j, for ǫ constant on (x j−1 , x j+1 ) reads…”

Section: Numerical Approximationmentioning

confidence: 99%

See 2 more Smart Citations

Multiscale modeling of solar cells with interface phenomena

Foster¹,

Costa²,

Peszyńska³

et al. 2013

j coup syst multisc dynam

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We describe a mathematical model for heterojunctions in semiconductors which can be used, e.g., for modeling higher efficiency solar cells. The continuum model involves well-known drift-diffusion equations posed away from the interface. These are coupled with interface conditions with a nonhomogeneous jump for the potential, and Robin-like interface conditions for carrier transport. The interface conditions arise from approximating the interface region by a lower-dimensional manifold. The data for the interface conditions are calculated by a Density Functional Theory (DFT) model over a few atomic layers comprising the interface region. We propose a domain decomposition method (DDM) approach to decouple the continuum model on subdomains which is implemented in every step of the Gummel iteration. We show results for CIGS/CdS, Si/ZnS, and Si/GaAs heterojunctions.

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Section: Fig 2 Transmission Electron Microscope (Tem) Image Of a Hementioning

confidence: 99%

“…To analyze existence and uniqueness of solutions to (13)- (15), under boundary conditions (29)-(33), one uses Slotboom variables ψ, u, v.…”

Section: Well-posedness In a Single Materialsmentioning

confidence: 99%

See 1 more Smart Citation

Multiscale modeling of solar cells with interface phenomena

Foster¹,

Costa²,

Peszyńska³

et al. 2013

j coup syst multisc dynam

View full text Add to dashboard Cite

show abstract

“…The granular simulation is a particles based simulation [5][6]. The arrangement, number, and size of particle allow to describe and analyze various physical phenomena besides discrete properties, such as heat transfer [7], landslide flow [8], and industrial application [9].…”

Section: Introductionmentioning

confidence: 99%

Simulation of granular in two dimensions: The effect of particle velocity on rigid wall boundary

et al. 2018

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The various setting of granular systems becomes an interesting and important thing to learn another granular-like system. Each system can represent different physical meaning. In this work, we perform two dimensions simulations of granular on the rigid wall. The varying initial velocities generate for each particle. We used two sets of the rigid wall, straight and inclined wall. The interaction of particle-particle and wall-particles used frictionless rigid body interaction. From the simulation result, observed that the small increment of a given velocity affected the reached maximum height particle as rapidly. The inclined wall indicates the less number of particles that pass through the wall. Future work can implement these results such as on granular energy damping.

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“…The transmembrane proteins, especially ion channels, have attracted the interest of the device modeling community recently [4]. In this work we focus on a ATP-driven transmembrane protein that has a crucial role on the maintenance of electrochemical gradients and the membrane potentials in all animal cells.…”

Section: Introductionmentioning

confidence: 99%

Exploration of Na+,K+-ATPase ion permeation pathways via molecular dynamic simulation and electrostatic analysis

et al. 2008

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Biologically-inspired nanodevices can serve as "natural" alternatives to conventional semiconductor devices in many applications from information storage to mechanical rotors. In this work we consider an ATP-powered transmembrane protein, the Na + ,K + -ATPase, which has appealing functionality but still lacks an "atomistic" picture capable of elucidating its operation. The vast collection of experimental literature on the Na + ,K + -ATPase gives a unique advantage to this protein in developing and validating computational tools. We have performed extensive molecular dynamic simulations of the Na + ,K + -ATPase in an accurate biological environment, followed by time-averaged electrostatic analysis, to investigate the ion-binding loci and access/egress pathways that cations may take through the protein as they are transported across the membrane.

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Particle-based simulation: An algorithmic perspective

Cited by 3 publications

References 37 publications

Multiscale modeling of solar cells with interface phenomena

Multiscale modeling of solar cells with interface phenomena

Simulation of granular in two dimensions: The effect of particle velocity on rigid wall boundary

Exploration of Na+,K+-ATPase ion permeation pathways via molecular dynamic simulation and electrostatic analysis

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