Torres, E.; Blumenau, A. T.; Biedermann, P. U.: Mechanism for phase transitions and vacancy island formation in alkylthiol/Au(111)self-assembled monolayers based on adatom and vacancy-induced reconstructions. Physical Review B 79 (7), pp. 075440-1 - 075440-6 (2009)
Pengel, S.; Niu, F.; Nayak, S.; Tecklenburg, S.; Chen, Y.-H.; Ebbinghaus, P.; Schulz, R.; Yang, L.; Biedermann, P. U.; Gygi, F.et al.; Schmid, R.; Galli, G.; Wippermann, S. M.; Erbe, A.: Oxygen reduction and water at the semiconductor/solution interface probed by stationary and time-resolved ATR-IR spectroscopy coupled to electrochemical experiments and DFT calculations. In: Program of the 8th International Conference on Advanced Vibrational Spectroscopy (ICAVS) – Oral Abstracts, pp. 130 - 131 (Eds. Lendl, B.; Koch, C.; Kraft, M.; Ofner, J.; Ramer, G.). 8th International Conference on Advanced Vibrational Spectroscopy (ICAVS), Vienna, Austria, July 12, 2015 - July 17, 2015. (2015)
Berezkin, A. V.; Biedermann, P. U.: Multiscale simulation of polyurethane network. World Polymer Congress 2012, Blacksburg, Virginia Tech, USA, June 24, 2012 - June 29, 2012. (2012)
Berezkin, A. V.; Biedermann, P. U.; Auer, A. A.: Mesoscale simulation of network formation and structure, combining molecular dynamics and kinetic Monte Carlo approaches. European Polymer Congress 2011, Granada, Spain, June 26, 2011 - July 01, 2011. (2011)
Kenmoe, S.; Biedermann, P. U.: Water adsorption on non polar ZnO surfaces: from single molecules to multilayers. In APS March Meeting 2015, abstract #G8.011. APS March Meeting 2015 , San Antonio, TX, USA, March 02, 2015 - March 06, 2015. (2015)
Kenmoe, S.; Biedermann, P. U.: Water adsorption on non polar ZnO surfaces: from single molecules to multilayers. In DPG Spring Meeting 2015, Abstract: O14.12. DPG Spring Meeting 2015 , Berlin, Germany, March 16, 2015 - March 20, 2015. (2015)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In APS March Meeting 2014, abstract #Q2.009. APS March Meeting 2014 , Denver, CO, USA, March 03, 2014 - March 07, 2014. (2014)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In DPG Spring Meeting 2014, Abstract: O50.6. DPG Spring Meeting 2014 , Dresden, Germany, March 30, 2014 - April 04, 2015. (2014)
Biedermann, P. U.; Nayak, S.; Erbe, A.: The Mechanism of Electrochemical Oxygen Reduction: A Combined DFT and in-Situ ATR-IR Study on Model Semiconductor Surfaces Ge(100) and ZnO. 227th ECS Meeting, Chicago, IL, USA (2015)
Biedermann, P. U.; Nayak, S.; Erbe, A.: Catching intermediates of the oxygen reduction reaction in situ: Insights from electrochemical ATIR-IR and DFT. 112th Bunsentagung (Annual German Conference on Physical Chemistry), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (2013)
Biedermann, P. U.; Nayak, S.; Erbe, A.: Towards Understanding the Mechanism of the Electrochemical Oxygen Reduction: DFT Modeling and Spectroelectrochemical Validation. Pacific Rim Meeting on Electrochemical and Solid-State Science PRIME 2012 / ECS 222, Honolulu, HI, USA (2012)
Nayak, S.; Biedermann, P. U.; Stratmann, M.; Erbe, A.: In situ Electrochemical ATR-IR Investigation of the Oxygen Reduction on Germanium. 62nd Annual Meeting of the International Society of Electrochemistry, Niigata, Japan (2011)
Berezkin, A. V.; Biedermann, P. U.; Auer, A. A.: Mesoscale simulation of network formation and structure, combining molecular dynamics and kinetic Monte Carlo approaches. European Polymer Congress 2011, Granada, Spain (2011)
Berezkin, A. V.; Biedermann, P. U.: Simulation of polyurethane and water interac-tions with the ZnO surface: DFT and classical OPLS-AA force field calculation. 4-th World Congress on Adhesion and Related Phenomena, Arcachon, France 2010 (2010)
Biedermann, P. U.: Ab initio approaches to Solvation Free Energies and Single-Ion Chemical Potentials. Minisymposium "Challenges for Theory in Electrochemistry", MPI für Eisenforschung GmbH, Düsseldorf, Germany (2010)
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
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.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
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…
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.