Hamidi Siboni, N.; Raabe, D.; Varnik, F.: Aging in amorphous solids: A study of the first-passage time and persistence time distributions. EPL 111 (4), 48004 (2015)
Gross, M.; Krüger, T.; Varnik, F.: Rheology of dense suspensions of elastic capsules: Normal stresses, yield stress, jamming and confinement effects. Soft Matter 10 (24), pp. 4360 - 4372 (2014)
Krüger, T.; Gross, M.; Raabe, D.; Varnik, F.: Crossover from tumbling to tank-treading-like motion in dense simulated suspensions of red blood cells. Soft Matter 9 (37), pp. 9008 - 9015 (2013)
Siboni, N. H.; Raabe, D.; Varnik, F.: Maintaining the equipartition theorem in small heterogeneous molecular dynamics ensembles. Physical Review E 87 (3), pp. 030101-1 - 030101-4 (2013)
Gross, M.; Varnik, F.: Interfacial roughening in nonideal fluids: Dynamic scaling in the weak- and strong-damping regime. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 87 (2), 022407 (2013)
Ayodele, S. G.; Varnik, F.; Raabe, D.: Lattice Boltzmann study of pattern formation in reaction-diffusion systems. Physical Review E 83 (016702), pp. 016702-1 - 016702-14 (2011)
Krüger, T.; Varnik, F.; Raabe, D.: Efficient and accurate simulations of deformable particles immersed in a fluid using a combined immersed boundary lattice Boltzmann finite element method. Computers & Mathematics with Applications 61 (12), pp. 3485 - 3505 (2011)
Krüger, T.; Varnik, F.; Raabe, D.: Particle stress in suspensions of soft objects. Philosophical Transactions of the Royal Society A 369, pp. 2414 - 2421 (2011)
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
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…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
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…