International Conference on Computational Methods in Applied Sciences and Engineering

• • Computational Methods in Applied Sciences and Engineering
  • Biological systems
  • Biomechanics
  • Biomedical technology
  • Computational methods in the life sciences
  • Numerical algorithms for bio-fluid dynamics
  • Damage, fracture and failure
  • Computational modeling of fracture and failure of materials and structures
  • Damage mechanics
  • Dynamic failure and fracture
  • Discretization methods, grid, mesh and solid generation
  • CAD, CAM and CAE
  • Grid generation for CFD and geometry definition for complex configurations
  • Solution adaptive grid techniques
  • Flow problems
  • Fluid mechanics
  • High-speed and chemically reacting flows
  • Multi-phase flows
  • Numerical algorithms for inviscid and viscous flows
  • Numerical methods and convergence acceleration in CFD
  • Unsteady flow computation
  • High performance computing
  • Interdisciplinary coupled and contact problems
  • Aero-acoustics
  • Computational contact mechanics
  • Coupled problems in science and engineering
  • Interdisciplinary computational methods
  • Materials
  • Adaptive materials systems, structures and smart materials
  • Computational materials science
  • Computational polymers and polymer composites
  • Computer methods in materials technology
  • Mechanical response of composites
  • Smart structures and materials
  • Multiscale problems
  • Computational microtribology and micromechanics
  • Computational multi physics, multi scales and multi big data
  • Computational nanotechnology
  • Multi-scale computational methods for solids and fluids
  • Multiple-scale physics and computation
  • Numerical simulation methods
  • Adaptive modeling and simulation
  • Atomistics simulations
  • High-order methods
  • Extended discretization methods
  • High order nonlinear numerical methods
  • Meshless and wavelet methods
  • Numerical algorithms for particle methods (lattice- Boltzmann, direct simulation Monte Carlo)
  • Numerical and symbolic computation
  • Particle-based methods
  • Optimization, inverse problems and control
  • Computational inverse problems and optimization
  • Evolutionary and deterministic methods for design, optimization and control
  • Reduction methods
  • Structural stability and dynamics
  • Uncertainty quantification and error estimation