Varnik, F.: Complex rheology of a simple model glass: Shear thinning, dynamic versus static yielding and flow heterogeneity. Institut für theoretische Physik, University of Düsseldorf, Germany (2005)
Varnik, F.: Stress fluctuations, static yield stress and shear banding in a flowing Lennard-Jones glass. SPIE conference on Fluctuation and Noise in Materials, Maspalomas, Gran Canaria, Spain (2004)
Varnik, F.: The static yield stress and flow heterogeneity in a model glass: A molecular dynamics study. International workshop on dynamics in viscous liquids, München, Germany (2004)
Varnik, F.: Etude par dynamique moléculaire de l’écoulement dans les systèmes amorphes. Laboratoire de Physique de la Matière Condensée, Université Claude Bernard Lyon 1, Lyon, France (2004)
Varnik, F.: Yield stress and shear banding in a flowing Lennard-Jones glass: A molecular dynamics study. Seminar talk at Laboratoire de Physico-Chimie Théorique, ESPCI, Paris, France (2003)
Varnik, F.: Rhéologie non-linéaire d’un modèle simple: La bande de cisaillement et la dynamique locale. Deuxième Journée de Modélisation Moléculaire des Polymères et des Matériaux Amorphes, Université Paris Sud, Orsay, France (2003)
Varnik, F.: Confinement effects on the slow dynamics of a supercooled polymer melt: Rouse modes and the incoherent scattering function. 2nd International Workshop on Dynamics in Confinement, Grenoble, France (2003)
Varnik, F.: Résultats de simulations de dynamique moléculaire sur la dynamique vitreuse d’un système de polymères. Seminar at Laboratoire de Chimie-Physique, Université Paris Sud, Orsay, France (2001)
Varnik, F.: Effects of the confinement on the glass transition in thin polymer films. 28th International Conference on Dynamical Properties of Solids (DYPROSO XXVIII), Kerkrade, The Netherlands (2001)
Varnik, F.: Measurements of moments for diffracted laser beams: Comparison with theory. 4-th International Conference on Laser Beam and Optics Characterization (LBOC), München, Germany (1997)
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
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…