Konferenzen zum Thema Computerphysik und Numerische Simulation in Deutschland

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Autumn School on Correlated Electrons: Dynamical Mean-Field Theory of Correlated Electrons
04. Okt 2022 - 07. Okt 2022 • Jülich, Deutschland
Forschungszentrum Jülich
Correlated systems are characterized by strong electron-electron interactions, resulting in many-body effects eluding a static mean-field description. They thus proved largely intractable until the development of dynamical mean-field theory (DMFT). In this approach, mapping the lattice onto an auxiliary impurity problem gives a local dynamical self-energy, which captures the essence of electronic correlations. DMFT is exact in the limit of infinite dimensions, and often provides an excellent approximation for real crystal structures. This crucial insight represented a paradigm shift in the study of correlations. Solving ever more complex impurity problems nowadays allows the simulation of real materials, making contact with experiment via the calculation of spectra, dynamical response functions, and non-equilibrium properties. Even subtle non-local effects can be captured using various approaches, including clusters of impurities or diagrammatic expansions. Thus DMFT finds application not only in correlated bulk systems but also in heterostructures, and can even be employed to understand the properties of topological phases of strongly correlated electron systems.

This year's school will introduce the concept of dynamical mean fields and explore how it can be used to understand the physics of real materials. Lectures will range from Fermi liquids and the limit of infinite dimensions to the physics of quantum impurities and their relation to the properties of correlated lattice systems.

The goal of the school is to introduce advanced graduate students and up to this modern method for the realistic modeling of strongly correlated matter.

Event Organization Team;     Email: correl22@fz-juelich.de
correlated systems, dynamical mean field theory, Fermi liquid, Mott transition, machine leaning, quantum impurities, out of equilibrium phenomena, topological phases, non-local effects, heterostructures, superconductivity
Beilstein Nanotechnology Symposium — Nanoinformatics: Spanning Scales, Systems and Solutions
11. Okt 2022 - 13. Okt 2022 • Rüdesheim, Deutschland
This Beilstein Nanotechnology Symposium is organized by Iseult Lynch, University of Birmingham, and Georgia Melagraki, Hellenic Military Academy.
Nanoinformatics (as an offshoot of chemoinformatics) refers to the combination of physical chemistry and materials theory with computer science’s in silico approaches to address key questions such as the prediction of materials functionality, fate in the environment, toxicity or therapeutic ability, recyclability and more. As the properties of nanomaterials themselves span several scales, from electronic, atomistic, mesoscopic to continuum, and are highly dynamic and context dependent (i.e., interact with and are transformed by their surroundings as well as impacting on their surroundings), they introduce new challenges for naming, describing and representing, and require the combination of physics-based and data-driven modelling approaches. This symposium will highlight current advances towards prediction of nanomaterials interactions with living systems and the environment. The symposium will cover the whole range of nanoinformatics, from construction of in silico nanomaterials for simulation of their interactions with biomolecules, membranes, cells and organisms and integration into complex product matrices, through development of nanomaterials descriptors and their use in prediction of nanomaterials exposure, mechanisms of biological activity, hazard and risk assessment, to integration of models for different end-points including sustainability, recyclability, insurance, and mechanistic considerations into IATA, meta-models or multi-criteria optimisation models to simultaneously balance materials functionality, safety and sustainability.

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Stand vom 06. Mai 2022