Ostertag, L. M.; Utzig, T.; Klinger, C.; Valtiner, M.: Tether-Length Dependence of Bias in Equilibrium Free-Energy Estimates for Surface-to-Molecule Unbinding Experiments. Langmuir 34 (3), pp. 766 - 772 (2018)
Stock, P.; Utzig, T.; Valtiner, M.: Soft matter interactions at the molecular scale: interaction forces and energies between single hydrophobic model peptides. Physical Chemistry Chemical Physics 19 (6), pp. 4216 - 4221 (2017)
Utzig, T.; Stock, P.; Valtiner, M.: Resolving Non-Specific and Specific Adhesive Interactions of Catechols at Solid/Liquid Interfaces at the Molecular Scale. Angewandte Chemie International Edition in English 55, pp. 9524 - 9528 (2016)
Utzig, T.; Stock, P.; Valtiner, M.: Resolving Non-Specific and Specific Adhesive Interactions of Catechols at Solid/Liquid Interfaces at the Molecular Scale. Angewandte Chemie 128, pp. 9676 - 9680 (2016)
Utzig, T.; Stock, P.; Raman, S.; Valtiner, M.: Targeted Tuning of Interactive Forces by Engineering of Molecular Bonds in Series and Parallel Using Peptide-Based Adhesives. Langmuir 31 (40), pp. 11051 - 11057 (2015)
Stock, P.; Utzig, T.; Valtiner, M.: Direct and quantitative AFM measurements of the concentration and temperature dependence of the hydrophobic force law at nanoscopic contacts. Journal of Colloid and Interface Science 446, pp. 244 - 251 (2015)
Utzig, T.; Raman, S.; Valtiner, M.: Scaling from Single Molecule to Macroscopic Adhesion at Polymer/Metal Interfaces. Langmuir 31 (9), pp. 2722 - 2729 (2015)
Hu, Q.; Cheng, H.-W.; Stock, P.; Utzig, T.; Shrestha, B. R.; Valtiner, M.: Elucidating the structure of solid/electrolyte interfaces - Force probe experiments at hydrophilic, hydrophobic and electrified aqueous as well as ionic liquid|electrode interfaces. Bunsenmagazin 2, pp. 49 - 55 (2015)
Cheng, H.-W.; Utzig, T.; Valtiner, M.: Using a Surface-Forces-Apparatus to measure force distance profiles across confined ionic liquids. Application Note – Spectrographs (Andor) (2014)
Utzig, T.: A contribution to understanding interfacial adhesion based on molecular level knowledge. Dissertation, Fakultät für Maschinenbau, Ruhr-Universität Bochum, Bochum, Germany (2016)
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
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.