Smoothed Particle Method for Real-Space Electronic Structure Calculations

Sugimoto, Soichiro; Zempo, Yasunari

doi:10.1088/1742-6596/510/1/012037

Cited by 8 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been successfully used for the simulation of various fluid phenomena, including: rigid and elastic solids, deformable objects, spray, foam, tiny air bubbles, granular materials, and other complex scenes that consists of millions of points [33][34][35]. Recently, SPH based methods have been used to solve non-hydrodynamic partial differential equations such as the wave equation, the diffusion equation, Maxwell's equations and Poisson's equation [36], as well as to solve electronic structure calculations [37].…”

Section: Sph For Biological Simulationsmentioning

confidence: 99%

Simulation of Skeletal Muscles in Real-Time with Parallel Computing in GPU

Navarro-Hinojosa

Alencastre-Miranda

2020

Applied Sciences

View full text Add to dashboard Cite

Modeling and simulation of the skeletal muscles are usually solved using the Finite Element method (FEM) which, although accurate, commonly needs a complex mesh and the solution is not processed in real-time. In this work, a meshfree model that simulates skeletal muscles considering their functioning and control based on electrical activity, their structure based on biological tissue, and that computes in real-time, is presented. Meshfree methods were used because they are able to surpass most of the limitations that are present in mesh-based methods. The muscular belly was modelled as a particle-based viscoelastic fluid, which is controlled using the monodomain model and shape matching. The smoothed particle hydrodynamics (SPH) method was used to solve both the fluid dynamics and the electrophysiological model. To analyze the accuracy of the method, a similar model was implemented with FEM. Both FEM and SPH methods provide similar solutions of the models in terms of pressure and displacement, with an error of around 0.09, with up to a 10% difference between them. Through the use of General-purpose computing on graphics processing units (GPGPU), real-time simulations that offer a viable alternative to mesh-based models for interactive biological tissue simulations was achieved.

show abstract

Section: Sph For Biological Simulationsmentioning

confidence: 99%