Berezkin, A. V.; Kudryavtsev, Y. V.: Effect of Cross-Linking on the Structure and Growth of Polymer Films Prepared by Interfacial Polymerization. Langmuir 31 (44), pp. 12279 - 12290 (2015)
Berezkin, A. V.; Kudryavtsev, Y. V.: Linear interfacial polymerization: Theory and simulations with dissipative particle dynamics. The Journal of Chemical Physics 141 (19), 194906 (2014)
Berezkin, A. V.; Kudryavtsev, Y. V.: Hybrid approach combining dissipative particle dynamics and finite-difference diffusion model: Simulation of reactive polymer coupling and interfacial polymerization. The Journal of Chemical Physics 139 (15), 154102 (2013)
Berezkin, A. V.; Kudryavtsev, Y. V.: End-coupling reactions in incompatible polymer blends: From droplets to complex micelles through interfacial instability. Macromolecules 46 (12), pp. 5080 - 5089 (2013)
Auer, A. A.; Richter, A.; Berezkin, A. V.; Guseva, D. V.; Spange, S.: Theoretical study of twin polymerization – From chemical reactivity to structure formation. Macromolecular Theory Simulations 21 (9), pp. 615 - 628 (2012)
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)
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)
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…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…