Maxime van Der Heijden

Maxime van der Heijden is an Assistant Professor in the Department of Chemical Engineering at the University of Waterloo. Her work is focused on the development of a framework for advanced manufacturing of porous microstructures for electrochemical devices, including water electrolyzers and flow batteries, to increase the implementation of these technologies in the energy industry. Her research bridges the gap between experimental and computational approaches by combining imaging techniques, machine learning, device testing, and additive manufacturing. Her research group is focused on three connected topics which include multiphase mass transport in porous materials, the design of porous materials using computational strategies, and the manufacturing of improved porous material design with great control over the structure and properties. During her PhD, Maxime worked on the engineering of porous materials for redox flow batteries by combining modelling approaches, imaging diagnostics, and advanced manufacturing. After obtaining her PhD, Maxime developed additive manufacturing approaches for porous electrodes in electrochemical devices.

• Porous media

• Electrochemical energy storage

• Redox flow batteries

• (Alkaline) water electrolyzers

• Additive manufacturing

• Operando imaging diagnostics

• Evolutionary computation

• Polymer science

• Multiphase flow

• Transport phenomena

• 2023, Doctorate Chemical Engineering and Chemistry, Eindhoven University of Technology, The Netherlands

• 2019, Master of Chemical Engineering and Chemistry, Eindhoven University of Technology, The Netherlands

• 2017, Bachelor of Chemical Engineering and Chemistry, Eindhoven University of Technology, The Netherlands

• CHE 331 - Electrochemical Engineering
  • Taught in 2025

* Only courses taught in the past 5 years are displayed.

• R.R. Jacquemond & M. van der Heijden & E.B. Boz, E.R.C. Ruiz, K.V. Greco, J.A. Kowalski, V. Muñoz Perales, F.R. Brushett, D.C. Nijmeijer, P. Boillat, A. Forner-Cuenca, Quantifying concentration distributions in redox flow batteries with neutron radiography, Nature Communications (2024), 15, 7434

• M. van der Heijden, G. Szendrei, V. de Haas, A. Forner-Cuenca, A versatile optimization framework for porous electrode design, Digital Discovery (2024), 3, 1292-1307

• M. van der Heijden, M. Kroese, Z. Borneman, A. Forner-Cuenca, Investigating mass transfer relationships in stereolithography 3D printed electrodes for redox flow batteries, Advanced Materials Technologies (2023), 8, 18, 2300611

• M. van der Heijden & R. van Gorp, M.A. Sadeghi, J. Gostick, A. Forner-Cuenca, Assessing the Versatility and Robustness of Pore Network Modeling to Simulate Redox Flow Battery Electrode Performance, Journal of the Electrochemical Society (2022), 169, 4, 040505