25 citations · 46 across the 5 of their papers we have counts for
5 papers
Exploring Neural Network Surrogates for High-Order Mesh-Free Interpolants
Lucas Gerken Starepravo, Georgios Fourtakas, Steven Lind +2
Mesh-free numerical methods offer flexibility in the discretisation of complex geometries, showing significant potential for problems where mesh-based methods struggle. Although hi…
Large Eddy Simulations of bubbly flows and breaking waves with Smoothed Particle Hydrodynamics
Jack R. C. King, Steven J. Lind, Benedict D. Rogers +2
For turbulent bubbly flows, multi-phase simulations resolving both the liquid and bubbles are prohibitively expensive in the context of different natural phenomena. One example is…
High-order simulations of isothermal flows using the local anisotropic basis function method (LABFM)
Jack King, Steven Lind
Mesh-free methods have significant potential for simulations of flows in complex geometries, with the difficulties of domain discretisation greatly reduced. However, many mesh-free…
High Weissenberg number simulations with incompressible Smoothed Particle Hydrodynamics and the log-conformation formulation
Jack King, Steven Lind
Viscoelastic flows occur widely, and numerical simulations of them are important for a range of industrial applications. Simulations of viscoelastic flows are more challenging than…
High order difference schemes using the Local Anisotropic Basis Function Method
Jack King, Steven Lind, Abouzied Nasar
Mesh-free methods have significant potential for simulations in complex geometries, as the time consuming process of mesh-generation is avoided. Smoothed Particle Hydrodynamics (SP…