Dr. Philip Marmet

Work at ZHAW

Position

Research associate in the field of Multiphysics and Multiscale simulations, characterization and stochastic modelling of microstructures Lecturer for Analysis 1 and 2 for bachelor course of study.

Education and Continuing education

Expertise and research interests

Methods:
- General: Multiphysics and Multiscale simulations of technical systems and processes. Depending on the problem, different modeling approaches are applied (e.g. analytical models, system simulation with lumped parameters, finite element and finite volume method in 1D, 2D and 3D) using own implementations as well as commercial software packages (e.g. GeoDict, Comsol Multiphysics, ANSYS, OpenFOAM, Matlab/Simulink etc.).
- Digital Microstructure Design: Workflow for a digital design and optimization of porous materials. Microstructures are virtually varied and optimized based on stochastic digital microstructure twins, which are fitted to real tomography data. The impact of the virtual microstructure variation on the device-performance is predicted with an appropriate physical model. This approach has been successfully applied for solid oxide fuel cells (SOFC) and aerosolfilters and can easily be adapted to other applications.
- Multiscale approach: Real and virtual microstructure models are characterized based on 3D geometry data in an automated way (e.g. using cloud computing). The effective properties of the microstructures are then used as an input for a continuum Multiphysics model.
- Experimental calibration and validation: Very often, modelling and simulation are used together with experimental studies in order to calibrate and validate the models and to verify the design guidelines deduced from the simulations. Thus, the appropriate design, analysis and interpretation of experiments is often an important part of a successful modeling project.

Applications:
- Fuel cells: Solid oxide fuel cells (SOFC, especially novel material concepts for nickel-free electrodes), PEM fuel cells (membrane electrode assembly modelling and water management), electrochemical impedance spectroscopy
- Aerosolfilters: Design for low pressure drop and high filter efficiency of ceramic and polymer-based filters.
- Model-based development and optimization of fluidic dosing systems including electromagnetic, piezoelectric or pneumatic actuation. Control of the dosing by integrated flow measurement. Experience with low to very high viscous fluids.
- General: Analysis, modeling and simulation of technical systems and processes in a broad range of applications. Excerpt of additional experience from successfully completed modeling projects: Drop separation for low and high viscous fluids (two-phase flow CFD simulation), Brownian dynamics simulation of colloidal suspensions, model-based development of actuators (pneumatic, electromagnetic, voice-coil, piezoelectric) with system simulations and FEM-simulations, different modeling projects for sensors (flow sensor, electromagnetic and capacitive sensors), design and optimal placing of antennas (high frequency electromagnetic simulations), dynamic behavior of a cable cars (system simulation), waste gas treatment (CFD simulation) etc.

Professional milestones

2023-today: Research associate in the field of Multiphysics and Multiscale simulations at the Institute of Computational Physics (ICP), ZHAW.
2019-2023: PhD student at the Institute of Computational Physics (ICP) at ZHAW in the field of Multiphysics and Multiscale simulations. Main topic: Model based Optimization of novel nickel-free anodes for solid oxide fuel cells (SOFC) with a focus on microstructure effects. Further topics: Modeling and Simulation of aerosolfilters. Supervision of student projects. Lecturer for Analysis 1 and 2 for WI and IT course of study (2019-2021).

2017-2018: CAE-Engineer at CADFEM (Suisse) AG for fluid dynamics, electrodynamics and Multiphysics. Consulting, seminars and technical support.

2015-2016: Research associate at the Institute of Computational Physics (ICP) at ZHAW, modeling and simulation of PEM fuel cells.

2013-2014: Research associate at the Institute iPrint at HEIA-FR.

2007-2013: Research associate at the Institute for Printing Technology at Berne University of Applied Sciences BUAS. Modeling and simulation of technical systems and processes including experimental validation. Lecturer for system simulation in the mechanical engineering department.

Educational background

PhD student at the Institute of Computational Physics (ICP) ZHAW / University of Fribourg, Winterthur/ Fribourg, Switzerland, 2019-2023

MSc in Physics, University of Fribourg, Fribourg, Switzerland, 2013-2016

MSc in Engineering BUAS, Industrial Technologies, Berne University of Applied Sciences BUAS, Zurich/Burgdorf, Switzerland, 2011-2013

Certified Project Management Associate IPMA Level D, VZPM, Berne, Switzerland, 2009

BSc Mechanical Engineering, Berne University of Applied Sciences BUAS, Burgdorf, Switzerland, 2003-2007

Projects

• Novel approaches for investigating local corrosion and mechanical degradation of multiphasic alloys (LoCoMecha) / Team member / Project ongoing
• GeoCloud – Simulation Software for Cloud-based Digital Microstructure Design of New Fuel Cell Materials / Team member / Project ongoing
• Versatile oxide fuel cell microstructures employing WGS active titanate anode current collectors compatible to ferritic stainless steel interconnects (VOLTA) / Team member / Project completed
• Designing multifunctional materials for proton exchange membrane fuel cells / Team member / Project completed

Publications

• Marmet, Philip; Holzer, Lorenz; Hocker, Thomas; Muser, Vinzenz; Boiger, Gernot Kurt; Fingerle, Mathias; Reeb, Sarah; Michel, Dominik; Brader, Joseph M.,

  2023.

  Stochastic microstructure modeling of SOC electrodes based on a pluri-Gaussian method.

  Energy Advances.

  2(11), pp. 1942-1967.

  Available from: https://doi.org/10.1039/D3YA00332A

• Marmet, Philip; Holzer, Lorenz; Hocker, Thomas; Boiger, Gernot K.; Bausinger, Holger; Mai, Andreas; Fingerle, Mathias; Reeb, Sarah; Michel, Dominik; Brader, Joseph M.,

  2023.

  Standardized microstructure characterization of SOC electrodes as a key element for Digital Materials Design.

  Energy Advances.

  2(7), pp. 980-1013.

  Available from: https://doi.org/10.1039/D3YA00132F

• Marmet, Philip; Holzer, Lorenz; Grolig, Jan G.; Bausinger, Holger; Mai, Andreas; Brader, Joseph M.; Hocker, Thomas,

  2021.

  Modeling the impedance response and steady state behaviour of porous CGO-based MIEC anodes.

  Physical Chemistry Chemical Physics.

  23(40), pp. 23042-23074.

  Available from: https://doi.org/10.1039/D1CP01962G

• Capone, Luigino; Marmet, Philip; Holzer, Lorenz; Dujc, Jaka; Schumacher, Jürgen; Lamibrac, Adrien; Büchi, Felix; Becker, Jürgen,

  2018.

  An ensemble Monte Carlo simulation study of water distribution in porous gas diffusion layers for proton exchange membrane fuel cells.

  Journal of Electrochemical Energy Conversion and Storage.

  15(3), pp. 031005.

  Available from: https://doi.org/10.1115/1.4038627

• Dujc, Jaka; Forner-Cuenca, Antoni; Marmet, Philip; Cochet, Magali; Vetter, Roman; Schumacher, Jürgen; Boillat, Pierre,

  2018.

  Modelling the effects of using gas diffusion layers with patterned wettability for advanced water management in proton exchange membrane fuel cells.

  Journal of Electrochemical Energy Conversion and Storage.

  15(2).

  Available from: https://doi.org/10.1115/1.4038626

• Holzer, Lorenz; Pecho, Omar; Schumacher, Jürgen; Marmet, Philip; Büchi, F.N.; Lamibrac, A.; Münch, B.,

  2017.

  Microstructure-property relationships in a gas diffusion layer (GDL) for polymer electrolyte fuel cells, Part II : pressure-induced water injection and liquid permeability.

  Electrochimica Acta.

  241, pp. 414-432.

  Available from: https://doi.org/10.1016/j.electacta.2017.04.141

• Holzer, Lorenz; Pecho, Omar; Schumacher, Jürgen; Marmet, Philip; Stenzel, Ole; Büchi, F.N.; Lamibrac, A.; Münch, B.,

  2017.

  Microstructure-property relationships in a gas diffusion layer (GDL) for polymer electrolyte fuel cells, Part I : effect of compression and anisotropy of dry GDL.

  Electrochimica Acta.

  227, pp. 419-434.

  Available from: https://doi.org/10.1016/j.electacta.2017.01.030

• Marmet, Philip,

  2023.

  Digital materials design of solid oxide fuel cell anodes.

  Fribourg:

  University of Fribourg.

  Available from: https://doi.org/10.21256/zhaw-28430

• Marmet, Philip; Hocker, Thomas; Boiger, Gernot K.; Grolig, Jan G.; Bausinger, Holger; Mai, Andreas; Fingerle, Mathias; Reeb, Sarah; Brader, Joseph M.; Holzer, Lorenz,

  2022.

  Composite conductivity of MIEC-based SOFC anodes : implications for microstructure optimization [paper].

  In:

  15th European SOFC & SOE Forum 2022, Lucerne, Switzerland, 5-8 July 2022.

  Winterthur:

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-26055

• Marmet, Philip; Hocker, Thomas; Grolig, Jan G.; Bausinger, Holger; Mai, Andreas; Brader, Joseph M.; Holzer, Lorenz,

  2020.

  Towards model-based optimization of CGO/Ni anodes [paper].

  In:

  14th European SOFC & SOE Forum, Lucerne, Switzerland (online), 20-23 October 2020.

  Zenodo.

  Available from: https://doi.org/10.5281/zenodo.4556898

• Marmet, Philip,

  2022.

  Optimization of MIEC-based SOFC anodes by digital microstructure design (DMD).

  In:

  18th Symposium on Modeling and Experimental Validation of Electrochemical Energy Technologies (ModVal), Hohenkammer, Germany, 14-16 March 2022.

• Marmet, Philip; Holzer, Lorenz; Hocker, Thomas; Boiger, Gernot Kurt; Hilden, Janine; Reeb, Sarah; Fingerle, Mathias,

  2021.

  Generation of virtual three-phase structures based on Gaussian random fields : an important option for Digital Materials Design of solid oxide fuel cell electrodes.

  In:

  GeoDict User Meeting 2021 Book of Abstracts.

  10. GeoDict User Meeting, online, 4.-8. Oktober 2021.

  Kaiserslautern:

  Math2Market.

  pp. 22.

  Available from: https://youtu.be/AIROVKq5yoc

• Marmet, Philip; Holzer, Lorenz; Grolig, Jan G.; Mai, Andreas; Brader, Joseph M.; Hocker, Thomas,

  2021.

  Comprehensive model for CGO based anodes.

  In:

  17th Symposium on Modeling and Experimental Validation of Fuel Cells, Electrolysers and Batteries (ModVal), online, 20-22 April 2021.

• Marmet, Philip; Capone, Luigino; Lamibrac, Adrien; Dujc, Jaka; Schumacher, Jürgen,

  2016.

  Ensemble-based study of equilibrium liquid water distribution in PEM gas diffusion layer.

  In:

  13th Symposium on Modeling and Experimental Validation of Fuel Cells, Electrolysers and Batteries, EPFL Lausanne, Switzerland, 22 March 2016.

Publications before appointment at the ZHAW

P. Marmet and F. Bircher, “Multiphysics Modelling of a Micro Valve,” European Comsol Conference 2009. Comsol Multiphysics, Milan, 2009. Available from: www.comsol.com/paper/multiphysics-modelling-of-a-micro-valve-6627
P. Marmet, F. Bircher, J. Renner, P. Haslebacher, G. Schlegel, and F. Fässler, “Simulation aided design of inkjet systems,” in Advances in Printing and Media Technology, 2011, pp. 69–91.
P. Marmet, A. Scacchi, and J. M. Brader, “Shear-induced migration in colloidal suspensions,” Mol. Phys., vol. 115, no. 14, pp. 1691–1699, 2017, doi: 10.1080/00268976.2017.1323128. Available from: doi.org/10.1080/00268976.2017.1323128

Patent application: Stefan Berger, Simon Zumbrunnen, Philip Marmet, Philipp Haslebacher, Manfred Schär, Flow Sensor, patent number: PCT/EP2012/066227. Available from: patentscope.wipo.int/search/en/detail.jsf

Other publications

Software-apps for standardized microstructure characterization and stochastic geometry modeling of solid oxide cell electrodes (executable in GeoDict), available on Zenodo public repository:

Marmet, P., Holzer, L., Hocker, T., Boiger, G. K., Bausinger, H., Mai, A., Fingerle, M., Reeb, S., Michel, D., & Brader, J. M. (2023). Characterization-app : standardized microstructure characterization of SOC electrodes as a key element for Digital Materials Design [Data set]. Zenodo. doi.org/10.5281/zenodo.7741305

Marmet, P., Holzer, L., Hocker, T., Muser, V., Boiger, G. K., Fingerle, M., Reeb, S., Michel, D., & Brader, J. M. (2023). Python app for stochastic microstructure modeling of SOC electrodes based on a pluri-Gaussian method [Data set]. Zenodo. doi.org/10.5281/zenodo.7744110

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