Mukherjee, T.; Breitbach, B.; Meneghetti, M.; Rabe, M.: Broadening the Ambit of Raman Solvation Shell Spectroscopy on Small Particle Dispersions. Journal of Physical Chemistry C 129 (39), pp. 17892 - 17901 (2025)
Ramirez, M.; R., S.; Samiseresht, N.; Martínez-Roque, M. A.; Catania, F.; Graef, K.; Rabe, M.; Offenhäusser, A.; Mayer, D.; Figueroa-Miranda, G.: A Truncated Multi-Thiol Aptamer-Based SARS-CoV-2 Electrochemical Biosensor: Towards Variant-Specific Point-of-Care Detection with Optimized Fabrication. Biosensors 15 (1), 24 (2025)
Warden, G. K.; Ebbinghaus, P.; Rabe, M.; Juel, M.; Gaweł, B. A.; Erbe, A.; Di Sabatino, M.: Investigation of uniformity in fused quartz crucibles for Czochralski silicon ingots. Journal of Crystal Growth 645, 127844 (2024)
Zhong, X.; Schulz, M.; Wu, C.-H.; Rabe, M.; Erbe, A.; Rohwerder, M.: Limiting Current Density of Oxygen Reduction under Ultrathin Electrolyte Layers: From the Micrometer Range to Monolayers. ChemElectroChem 8 (4), pp. 712 - 718 (2021)
Rabe, M.; Kerth, A.; Blume, A.; Garidel, P.: Albumin displacement at the air-water interface by Tween (Polysorbate) surfactants. European Biophysics Journal with Biophysics Letters 49, pp. 533 - 547 (2020)
Rabe, M.: Spectram: A MATLAB® and GNU octave toolbox for transition model guided deconvolution of dynamic spectroscopic data. Journal of Open Research Software 8, 13 (2020)
Rabe, M.; Toparli, C.; Chen, Y.-H.; Kasian, O.; Mayrhofer, K. J. J.; Erbe, A.: Alkaline manganese electrochemistry studied by in situ and operando spectroscopic methods - metal dissolution, oxide formation and oxygen evolution. Physical Chemistry Chemical Physics 21 (20), pp. 10457 - 10469 (2019)
Daudey, G. A.; Schwieger, C.; Rabe, M.; Kros, A.: Influence of Membrane–Fusogen Distance on the Secondary Structure of Fusogenic Coiled Coil Peptides. Langmuir 35 (16), pp. 5501 - 5508 (2019)
Uebel, M.; Exbrayat, L.; Rabe, M.; Tran, T. H.; Crespy, D.; Rohwerder, M.: On the Role of Trigger Signal Spreading Velocity for Efficient Self-Healing Coatings for Corrosion Protection. Journal of the Electrochemical Society 165 (16), pp. C1017 - C1027 (2018)
Niu, F.; Rabe, M.; Nayak, S.; Erbe, A.: Vibrational spectroscopic study of pH dependent solvation at a Ge(100)-water interface during an electrode potential triggered surface termination transition. The Journal of Chemical Physics 148, 222824 (2018)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…