Research Topic: 3D-printed MOF-derived Supercapacitors

My PhD project is about MOF-derived materials and their behaviour under different conditions, aiming for deeper understanding and better optimisation. While MOFs are widely studied, much less is known about their derived counterparts. Focusing on simple Mn and Ni based MOFs, I leverage AI techniques for data mining and predictive modelling to uncover complex patterns that could be even applied to different MOFs further on. This exploration links to potential application in the field of supercapacitors by examining how each parameter affects the final performance. With a better understanding of the active materials, they can be more effectively integrated within complex 3D-printed electrodes using techniques like dropcasting, direct growth, or ink incorporation, giving the ultimate power over the structure of the final electrode at all scales.  

Selected Publications

D. Gryc, P. Banerjee, F. J. L. Duarte, J. R. Jinschek, P. Murugesan, B. Rezaei, S. S. Keller, R. A. Fischer, M. Z. Hussain, Adv. Intell. Discov. 2025, e202500140. Bayesian Exploration of Metal-Organic Framework-Derived Nanocomposites for High-Performance Supercapacitors.

P. Gao, M. Z. Hussain, D. Gryc, S. Mukherjee, Z. Zhou, W. Li, A. Jentys, M. Elsner, R. A. Fischer, Biosens. Bioelectron. 2025, 286, 117598. Enhanced electrochemical activity by MOF superstructure derived Ni₂P@C for ultrasensitive sensing of Bisphenol A.

R. L. Streng, S. Reiser, A. Senyshyn, S. Wager, J. Sterzinger, P. Schneider, D. Gryc, M. Z. Hussain, A. S. Bandarenka, Adv. Sci. 2025, 12, 2417587. Sustainable High-Performance Aqueous Batteries Enabled by Optimizing Electrolyte Composition.