Ramana, E. V.; Durairajan, A.; Kavitha, D.; Tobaldi, D. M.; Zavašnik, J.; Bdikin, I.; Valente, M. A.: Enhanced magnetoelectric and energy storage performance of strain-modified PVDF-Ba0.7Ca0.3TiO3-Co0.6Zn0.4Fe2O4nanocomposites. Journal of energy storage 87, 111454 (2024)
Öcal, E. B.; Sajadifa, S. V.; Sellner, E. P. K.; Vollmer, M.; Heidarzadeh, A.; Zavašnik, J.; Niendorf, T.; Groche, P.: Functionally Graded AA7075 Components Produced via Hot Stamping: A Novel Process Design Inspired from Analysis of Microstructure and Mechanical Properties. Advanced Engineering Materials - Special Issue: Structural Materials 25 (15), 2201879 (2023)
Sajadifar, S. V.; Suckow, T.; Chandra, C. K.; Heider, B.; Heidarzadeh, A.; Zavašnik, J.; Reitz, R.; Oechsner, M.; Groche, P.; Niendorf, T.: Assessment of the impact of process parameters on the final material properties in forming of EN AW 7075 employing a simulated forming process. Journal of Manufacturing Processes 86, pp. 336 - 353 (2023)
Entezari, H.; Kashi, M. A.; Alikhanzadeh-Arani, S.; Montazer, A.H.; Zavašnik, J.: In situ precipitation synthesis of FeNi/ZnO nanocomposites with high microwave absorption properties. Materials Chemistry and Physics 266, 124508 (2021)
Žerjav, G.; Teržan, J.; Djinović, P.; Barbieriková, Z.; Hajdu, T.; Brezová, V.; Zavašnik, J.; Kovač, J.; Pintar, A.: TiO2–β–Bi2O3 junction as a leverage for the visible-light activity of TiO2 based catalyst used for environmental applications. Catalysis Today 361, pp. 165 - 175 (2021)
Djinović, P.; Zavašnik, J.; Teržan, J.; Jerman, I.: Role of CO2 During Oxidative Dehydrogenation of Propane Over Bulk and Activated-Carbon Supported Cerium and Vanadium Based Catalysts. Catalysis Letters 151 (10), pp. 2816 - 2832 (2021)
Taherzadeh Mousavian, R.; Zavašnik, J.; Heidarzadeh, A.; Bahramyan, M.; Vijayaraghavan, R. K.; McCarthy, É.; Clarkin, O. M.; McNally, P. J.; Brabazon, D.: Development of BMG-B2 nanocomposite structure in HAZ during laser surface processing of ZrCuNiAlTi bulk metallic glasses. Applied Surface Science 505, 144535 (2020)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…