Dr Jens-Dominik Mueller

Jens-Dominik Mueller

Senior Lecturer in Bio-Fluids

School of Engineering and Materials Science

Research

Computational Fluid Dynamics, Fluid-Structure Interaction, Shape Optimisation, Adjoint methods, Mesh adaptation

Publications

Publications of specific relevance to

2021

Shahdad S, Hindocha A, Patel T, Cagney N, Mueller JD, Koched A, Seoudi N, Morgan C, Fleming PS and Din AR (2021). Fallow time determination in dentistry using aerosol measurement in mechanically and non-mechanically ventilated environments. Springer Nature [Academic Journals On Nature.Com]  British Dental Journal (Bdj)  10.1038/s41415-021-3369-1
Agromayor R, Anand N, Müller JD, Pini M and Nord LO (2021). A Unified Geometry Parametrization Method for Turbomachinery Blades. Elsevier  Cad Computer Aided Design  vol. 133, 10.1016/j.cad.2020.102987

2020

Mohanamuraly P and Müller JD (2020). An adjoint-assisted multilevel multifidelity method for uncertainty quantification and its application to turbomachinery manufacturing variability. Wiley  International Journal For Numerical Methods in Engineering  10.1002/nme.6617
Odier N, Thacker A, Harnieh M, Staffelbach G, Gicquel L, Duchaine F, García Rosa N and Müller JD (2020). A mesh adaptation strategy for complex wall-modeled turbomachinery LES. Elsevier  Computers and Fluids  vol. 214, 10.1016/j.compfluid.2020.104766
Shahdad S, Patel T, Hindocha A, Cagney N, Mueller JD, Seoudi N, Morgan C and Din A (2020). The efficacy of an extraoral scavenging device on reduction of splatter contamination during dental aerosol generating procedures: an exploratory study. Springer Nature [Academic Journals On Nature.Com]  British Dental Journal (Bdj)  10.1038/s41415-020-2112-7
Akbarzadeh S, Hückelheim J and Müller JD (2020). Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation. Springer (Part of Springer Nature)  Computational Optimization and Applications  10.1007/s10589-020-00214-x
Mohanamuraly P, Hascoët L and Müller JD (2020). Seeding and adjoining zero-halo partitioned parallel scientific codes. Optimization Methods and Software  vol. 35, (3) 618-637. 10.1080/10556788.2019.1591404
Din AR, Hindocha A, Patel T, Sudarshan S, Cagney N, Koched A, Mueller JD, Seoudi N, Morgan C, Shahdad S and Fleming PS (2020). Quantitative analysis of particulate matter release during orthodontic procedures: a pilot study. British Dental Journal  10.1038/s41415-020-2280-5

2019

Xu S, Mueller J-D, Pavanakumar M and Wang D (2019). A Newton–Krylov Solver for Robust Turbomachinery Aerodynamic Analysis. American Institute of Aeronautics and Astronautics  Aiaa Journal: Devoted to Aerospace Research and Development  10.2514/1.J058523
Mueller J, ZHANG X, Akbarzadeh S and WANG Y (2019). Geometric continuity constraints of automatically derived parametrisations in CAD-based shape optimisation. Taylor & Francis  International Journal of Computational Fluid Dynamics  10.1080/10618562.2019.1683166
Roi DP, Mueller J-D, Lobotesis K, McCague C, Memarian S, Khan F and Mankad K (2019). Intracranial aneurysms: looking beyond size in neuroimaging: the role of anatomical factors and haemodynamics. Quantitative Imaging in Medicine and Surgery  vol. 9, (4) 537-545. 10.21037/qims.2019.03.19
Hückelheim JC and Müller JD (2019). Checkpointing with Time Gaps for Unsteady Adjoint CFD. Computational Methods in Applied Sciences  10.1007/978-3-319-89988-6_7
Zhang X, Jesudasan R and Müller JD (2019). Adjoint-based aerodynamic optimisation of wing shape using non-uniform rational B-splines. Computational Methods in Applied Sciences  10.1007/978-3-319-89890-2_10
Schwalbach M, Verstraete T, Müller JD and Gauger N (2019). A comparative study of two different CAD-based mesh deformation methods for structural shape optimization. Computational Methods in Applied Sciences  10.1007/978-3-319-89890-2_4

2018

Banović M, Mykhaskiv O, Auriemma S, Walther A, Legrand H and Müller JD (2018). Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver. Optimization Methods and Software  vol. 33, (4-6) 813-828. 10.1080/10556788.2018.1431235
Hückelheim JC, Hovland PD, Strout MM and Müller JD (2018). Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation. Optimization Methods and Software  vol. 33, (4-6) 672-693. 10.1080/10556788.2018.1435654
MUELLER J, Wang Y and HE W (2018). Sensitivity Analysis and Gradient-based Optimisation of Feed Spacer Shape in Reverse Osmosis Membrane Processes Using Discrete Adjoint Approach. Elsevier  Desalination  10.1016/j.desal.2018.09.016

2017

mykhaskiv O, MUELLER J, Banovic M, Auriemma S, Mohanamuraly P, Walther A and Legrand H (2017). NURBS-based and Parametric-based Shape Optimisation with differentiated CAD Kernel. Taylor & Francis  Computer-Aided Design and Applications  10.1080/16864360.2018.1462881
Xu S, Timme S, Mykhaskiv O and Müller JD (2017). Wing-body junction optimisation with CAD-based parametrisation including a moving intersection. Aerospace Science and Technology  vol. 68, 543-551. 10.1016/j.ast.2017.06.014
Daviller G, Brebion M, Xavier P, Staffelbach G, Müller JD and Poinsot T (2017). A Mesh Adaptation Strategy to Predict Pressure Losses in LES of Swirled Flows. Flow, Turbulence and Combustion  vol. 99, (1) 93-118. 10.1007/s10494-017-9808-z
MUELLER J, hueckelheim J, hovland P and Strout M (2017). Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver. Sage Publications  International Journal of High Performance Computing Applications  10.1177/1094342017712060
MUELLER J, verstraete T and Mueller L (2017). ADJOINT BASED DESIGN OPTIMISATION OF AN INTERNAL COOLING CHANNEL U-BEND FOR MINIMIZED PRESSURE LOSSES., Editors: manna M. International Journal of Turbomachinery Propulsion and Power  10.3390/ijtpp2020010
Verstraete T, Müller L and Müller JD (2017). Adjoint-based design optimisation of an internal cooling channel u-bend for minimised pressure losses. Mdpi  International Journal of Turbomachinery, Propulsion and Power  vol. 2, (2) 10.3390/ijtpp2020010

2016

Hückelheim JC, Hascoët L and Müller JD (2016). Algorithmic differentiation of code with multiple context-specific activities. Acm Transactions On Intelligent Systems and Technology  vol. 43, (4) 10.1145/3015464

2015

Ghani A, Poinsot T, Gicquel L and Müller JD (2015). LES Study of Transverse Acoustic Instabilities in a Swirled Kerosene/Air Combustion Chamber. Flow, Turbulence and Combustion  vol. 96, (1) 207-226. 10.1007/s10494-015-9654-9
Xu S, Radford D, Meyer M and Müller JD (2015). Stabilisation of discrete steady adjoint solvers. Journal of Computational Physics  vol. 299, 175-195. 10.1016/j.jcp.2015.06.036

2013

Xu S, Jahn W and Müller J-D (2013). CAD-based shape optimisation with CFD using a discrete adjoint. International Journal For Numerical Methods in Fluids  10.1002/fld.3844

2012

Jaworski AB, Müller JD and Rokicki J (2012). One-shot optimisation with grid adaptation using adjoint sensitivities (ECCOMAS 2012). Eccomas 2012 - European Congress On Computational Methods in Applied Sciences and Engineering, E-Book Full Papers  3685-3693.
Jones D, Müller JD and Bayyuk S (2012). CFD development with automatic differentiation. 50th Aiaa Aerospace Sciences Meeting Including The New Horizons Forum and Aerospace Exposition  10.2514/6.2012-573
Wolf P, Staffelbach G, Gicquel LYM, Müller JD and Poinsot T (2012). Acoustic and Large Eddy Simulation studies of azimuthal modes in annular combustion chambers. Combustion and Flame  vol. 159, (11) 3398-3413. 10.1016/j.combustflame.2012.06.016
Müller JD, Jitsumura M and Müller-Kronast NHF (2012). Sensitivity of flow simulations in a cerebral aneurysm. Journal of Biomechanics  vol. 45, (15) 2539-2548. 10.1016/j.jbiomech.2012.07.036
Wolf P, Staffelbach G, Gicquel LYM, Müller J-D and Poinsot T (2012). Acoustic and Large Eddy Simulation studies of azimuthal modes in annular combustion chambers. Combustion and Flame  10.1016/j.combustflame.2012.06.016
Mueller J-D, Jones D, Jahn W, Othmer C, Megahed M, Hollette N, Pierrot G, Bletzinger K-U and Stavropolou E (2012). Goal-based flow optimisation for automotive design. Transport Research Arena 2012  vol. 48, 3599-3612. 10.1016/j.sbspro.2012.06.1323

2011

Christakopoulos F, Jones D and Mueller J-D (2011). Pseudo-timestepping and verification for automatic differentiation derived CFD codes. Computers & Fluids  vol. 46, (1) 174-179. 10.1016/j.compfluid.2011.01.039
Jones D, Müller JD and Christakopoulos F (2011). Preparation and assembly of discrete adjoint CFD codes. Computers and Fluids  vol. 46, (1) 282-286. 10.1016/j.compfluid.2011.01.042
Yu G, Müller JD, Jones D and Christakopoulos F (2011). CAD-based shape optimisation using adjoint sensitivities. Computers and Fluids  vol. 46, (1) 512-516. 10.1016/j.compfluid.2011.01.043

2010

McConlogue T, Mueller J and Shelton J (2010). Challenges of developing engineering students' writing through peer assessment. Engineering Education 2010: Inspiring The Next Generation of Engineers, Ee 2010 
Puigt G, Auffray V and Müller JD (2010). Discretisation of diffusive fluxes on hybrid grids. Journal of Computational Physics  vol. 229, (5) 1425-1447. 10.1016/j.jcp.2009.10.037

2008

Jaworski A and Müller JD (2008). Toward modular multigrid design optimisation. Lecture Notes in Computational Science and Engineering  vol. 64 LNCSE, 281-291. 10.1007/978-3-540-68942-3_25
Forsythe N and Mueller JD (2008). Validation of a fluid-structure interaction model for a bileaflet mechanical heart valve. Int J Comput Fluid D  vol. 22, (8) 541-553. 10.1080/10618560802336962

2003

Giles MB, Duta MC, Müller JD and Pierce NA (2003). Algorithm developments for discrete adjoint methods. Aiaa Journal  vol. 41, (2) 198-205. 10.2514/2.1961

2002

Moinier P, Müller JD and Giles MB (2002). Edge-based multigrid and preconditioning for hybrid grids. Aiaa Journal  vol. 40, (10) 1954-1960. 10.2514/2.1556

2001

Müller JD, Schönfeld ET and Légier JP (2001). Adaptive local grid refinement for unsteady reacting flows. 15th Aiaa Computational Fluid Dynamics Conference 
Müller JD and Giles MB (2001). Solution adaptive mesh refinement using adjoint error analysis. 15th Aiaa Computational Fluid Dynamics Conference