24 citations · 60 across the 9 of their papers we have counts for
10 papers
A quantum-assisted latent surrogate model for Bayesian inversion of heterogeneous material properties on NISQ hardware
Dewangga Alfarisy, Catherine F. Higham, Eky Febrianto
Bayesian inversion is widely used in engineering applications, including material characterisation, structural damage identification, and medical diagnostics. These inverse problem…
A Quantum Spectral Method for Non-Periodic Boundary Value Problems
Eky Febrianto, Yiren Wang, Burigede Liu +2
Quantum computing holds the promise of solving computational mechanics problems in polylogarithmic time, meaning computational time scales as , where i…
Total Lagrangian Smoothed Particle Hydrodynamics with An Improved Bond-Based Deformation Gradient for Large Strain Solid Dynamics
I. M. Wiragunarsa, L. R. Zuhal, T. Dirgantara +2
Total Lagrangian Smoothed Particle Hydrodynamics (TLSPH) is one variant of SPH where the variables are described using the fixed reference configuration and a Lagrangian smoothing…
Point collocation with mollified piecewise polynomial approximants for high-order partial differential equations
Dewangga Alfarisy, Lavi Zuhal, Michael Ortiz +2
The solution approximation for partial differential equations (PDEs) can be substantially improved using smooth basis functions. The recently introduced mollified basis functions a…
A three-grid high-order immersed finite element method for the analysis of CAD models
Eky Febrianto, Jakub Sistek, Pavel Kus +2
The automated finite element analysis of complex CAD models using boundary-fitted meshes is rife with difficulties. Immersed finite element methods are intrinsically more robust bu…
Machine learning opens a doorway for microrheology with optical tweezers in living systems
Matthew G. Smith, Jack Radford, Eky Febrianto +6
It has been argued [Tassieri, \textit{Soft Matter}, 2015, \textbf{11}, 5792] that linear microrheology with optical tweezers (MOT) of living systems ``\textit{is not an option}'',…
Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices
Jan Povala, Ieva Kazlauskaite, Eky Febrianto +2
Inverse problems involving partial differential equations (PDEs) are widely used in science and engineering. Although such problems are generally ill-posed, different regularisatio…
Digital twinning of self-sensing structures using the statistical finite element method
Eky Febrianto, Liam Butler, Mark Girolami +1
The monitoring of infrastructure assets using sensor networks is becoming increasingly prevalent. A digital twin in the form of a finite element model, as used in design and constr…
Mollified finite element approximants of arbitrary order and smoothness
Eky Febrianto, Michael Ortiz, Fehmi Cirak
The approximation properties of the finite element method can often be substantially improved by choosing smooth high-order basis functions. It is extremely difficult to devise suc…
An Immersed Discontinuous Galerkin Method for Compressible Navier-Stokes Equations on Unstructured Meshes
Hong Xiao, Eky Febrianto, Qiaoling Zhang +1
We introduce an immersed high-order discontinuous Galerkin method for solving the compressible Navier-Stokes equations on non-boundary-fitted meshes. The flow equations are discret…