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Call For Papers

• 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