activity
20232026
most citedA mesh-free framework for high-order direct numerical simulations of combustion in complex geometries

4 citations · 6 across the 9 of their papers we have counts for

collaborators

10 papers

physics.comp-ph2026

Learning Spectrally Optimised Mesh-Free Discretisations

Lucas Gerken Starepravo, Henry Broadley, Steven Lind +1

Numerical methods for partial differential equations (PDEs) discretise differential operators, ideally reproducing the action of the continuous operators across all wavenumbers per…

physics.flu-dyn2026

Elasto-inertial transitions in viscoelastic flows through cylinder arrays

Jack R. C. King, Henry M. Broadley, Miguel Beneitez

For dilute solutions of polymers, chaotic flow states can occur at lower Reynolds numbers than required for inertial turbulence in Newtonian fluids, offering the potential for incr…

cs.LG2026

Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

Lucas Gerken Starepravo, Georgios Fourtakas, Steven Lind +3

Mesh-free numerical methods provide flexible discretisations for complex geometries; however, classical meshless discrete differential operators typically trade low computational c…

math.NA2026

Compact LABFM: a framework for meshless methods with spectral-like resolving power

Henry M. Broadley, Steven J. Lind, Jack R. C. King

Meshless methods are often used in numerical simulations of systems of partial differential equations (PDEs), particularly those which involve complex geometries or free surfaces.…

math.NA2025

A p-adaptive high-order mesh-free framework for fluid simulations in complex geometries

Ruofeng Feng, Jack R. C. King, Steven J. Lind

This paper presents a novel p-adaptive, high-order mesh-free framework for the accurate and efficient simulation of fluid flows in complex geometries. High-order differential opera…

physics.flu-dyn2025

High-order mesh-free direct numerical simulation of lean hydrogen flames in confined geometries

H. M. Broadley, S. J. Lind, J. R. C. King

Here we perform the first analysis of high-fidelity simulations of the propagation of lean hydrogen flames through porous media, taking cylindrical arrays a representative example…

physics.flu-dyn2025★ 1 cited

Uncertainty in Elastic Turbulence

Jack R. C. King, Robert J. Poole, Cláudio P. Fonte +1

Elastic turbulence can lead to to increased flow resistance, mixing and heat transfer. Its control -- either suppression or promotion -- has significant potential, and there is a c…

physics.flu-dyn2024

A new complex fluid flow phenomenon: Bubbles-on-a-String

Thomas P. John, Jack R. C. King, Steven J. Lind +1

A liquid jet plunging into a quiescent bath of the same liquid is a fundamental fluid mechanical problem underpinning a range of processes in industry and the natural world. Signif…

physics.flu-dyn2023★ 1 cited

A mesh-free framework for high-order simulations of viscoelastic flows in complex geometries

Jack R. C. King, Steven J. Lind

The accurate and stable simulation of viscoelastic flows remains a significant computational challenge, exacerbated for flows in non-trivial and practical geometries. Here we prese…

physics.flu-dyn2023★ 4 cited

A mesh-free framework for high-order direct numerical simulations of combustion in complex geometries

Jack R. C. King

The multiscale nature of turbulent combustion necessitates accurate and computationally efficient methods for direct numerical simulations (DNS). The field has long been dominated…