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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.
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…