Tagungen und Workshops zum Thema Computerphysik und Numerische Simulation

The congress is hosted by the Norwegian University of Science and Technology (NTNU), together with SINTEF and the Nordic Association for Computational Mechanics in Engineering (NOACM).

Wissenschaftliches Rechnen und Datenwissenschaft,    Angewandte Mathematik (allgem.)

The Royal Society

The development of advanced materials is of central importance in key scientific and industrial areas, including energy, catalysis and quantum technologies. High end computing and data science offer unprecedented opportunities for predictive modelling of complex materials. The meeting will explore the scientific and methodological challenges in the field, focusing on structure prediction, nucleation and crystal growth, biomaterials and catalysis.

Festkörperphysik,    Wissenschaftliches Rechnen und Datenwissenschaft

The goal of this meeting is to bring together theoreticians, modelers, and observers to discuss the computational astrophysics and observational challenges for the next generation of observatories, focusing on the next generation Very Large Array (ngVLA). The formation of planetary systems, the evolution of galaxies, and the observation of electromagnetic counterparts of gravitational wave events will be fertile grounds for discovery in the next decades and are core science goals for the ngVLA. The challenge to simulators is to develop predictive models that can be accurately compared against observations, while observers need to generate measurements that can effectively constrain the models.

The MEDEX meeting is organized by the Institute of Experimental and Applied Physics, Czech Technical University in Prague (Czech Republic); by the University of La Plata (La Plata, Argentina) and by the University of Jyväskylä (Jyväskylä, Finland)

MEDEX (Matrix Elements for the Double beta decay EXperiments) conference is dedicated to the presentation of different methods of nuclear matrix elements (NME) calculations in connection with the nuclear double beta decay processes.

Kernphysik,    Mathematische Physik

The Minerals, Metals & Materials Society (TMS)

The NUMISHEET conference series gathers the most prominent experts in the area of numerical simulation of sheet metal forming processes and inspires an international exchange of ideas and discussions of the related technologies. The 2022 conference takes place in Canada for the first time and features technical and keynote programs, symposia, benchmark applications for comparing numerical predictions of the participants with experimental results, and a cultural excursions program.

Metallurgie und Werkstoffkunde,    Simulation

Physikalische (theoretische) Chemie, Chemoinformatik,    Atomphysik

Astronomical Observatory of the Jagiellonian University

Cosmology School is addressed to young astronomers and physicists interested in observational cosmology. It involves lectures, workshops and student sessions. The lectures will cover such topics as: large-scale structure of the Universe, dark matter and dark energy, cosmic web, galaxy formation and evolution, galaxy surveys and astronomical observations, computer simulations, gravitational waves and multi-messenger astronomy. During the workshops, the participants will have the opportunity to get a practical knowledge of: numerical simulations, SED fitting, VO tools, TOPCAT and Aladin, ADQL, VO in cosmology. The School is intended for undergraduate, MSc and PhD students, as well as young postdoctoral researchers.

Local Organizing Committee;     Email: cosmoschool2022@oa.uj.edu.pl

large-scale structure, dark matter, dark energy, cosmic web, galaxy formation and evolution, galaxy surveys, computer simulations, gravitational waves, multi-messenger astronomy, SED fitting, VO tools, TOPCAT, Aladin, ADQL, cosmology, active galaxies, agn, astrophysics

Astronomie, Astrophysik und Kosmologie,    Kurse und Veranstaltungen für Physikstudenten

Physikalische (theoretische) Chemie, Chemoinformatik,    Atomphysik

Wissenschaftliches Rechnen und Datenwissenschaft,    Angewandte Mathematik (allgem.)

The mathematics and physics around gauge theory have, since their first interaction in the mid 1970's, prompted tremendous developments in both mathematics and physics. Deep and fundamental tools in partial differential equations have been developed to provide rigorous foundations for the mathematical study of gauge theories. This led to ongoing revolutions in the understanding of manifolds of dimensions 3 and 4 and presaged the development of symplectic topology. Ideas from quantum field theory have provided deep insights into new directions and conjectures on the structure of gauge theories and suggested many potential applications. The focus of this program will be those parts of gauge theory which hold promise for new applications to geometry and topology and require development of new analytic tools for their study.

Mathematische Physik,    Kurse und Veranstaltungen für Studenten der Mathematik

The meeting is co-sponsored by the European Geosciences Union (EGU), the International Lithosphere Program (ILP) and the ETH Zurich.

Welcome to the 2022 Ada Lovelace Workshop on Numerical Modelling of Mantle and Lithosphere Dynamics! The workshop series was initiated in 1987 in Neustadt an der Weinstrasse, Germany, and workshops usually take place every two years, with the current 3-year interval due to the COVID-19 epidemic. The last workshops were held in Sienna, Italy (2019), Putten, the Netherlands (2017), Oleron, France (2015), Hønefoss, Norway (2013). The workshops, previously known as International Workshops on Mantle and Lithosphere Dynamics, were renamed in 2018 by the EGU Topical Events Committee in honour of the 19th century English mathematician Ada Lovelace. The 2022 workshop will be co-organized by ETH Zürich and Eotvos Lorand University, Hungary, and will take place at the Ensana Thermal Hévíz Health Spa Hotel in Hévíz, Hungary, about 200 km from Budapest.

The ICNSP, the international Conference on Numerical Simulation of Plasmas, has been held every two (or three) years, as a unique opportunity for getting together the leading scientists, young researchers as well as Ph.D students in the field of computation plasma physics. The conference topics include novel numerical models, methods, and algorithms for solving the complex and complicated plasma phenomena and their applications to laboratory, fusion, space, and astrophysical plasma.The 27th ICNSP will take place in Japan, and is welcome back after 19th ICNSP in Nara, 2005.

Aristotle University of Thessaloniki, Cosmology group at the Department of Mechanics, Astronomy and Astrophysics

The aim of the workshop is to review the status of the standard ΛCDM paradigm, draw attention to open issues that may question its foundations and robustness, as well as discuss alternatives that could alleviate the tensions, and consider possible future perspectives.

Tel.: [+(30) 2310-999891];     Email: tsagas@astro.auth.gr

cosmology workshop, conference Greece, conference Thessaloniki, challenges to ΛCDM, cosmology AUTH, alternatives to the standard model, theory and observations, gravitation and cosmology, data analysis and statistics, phenomenology-HEP, astrophysics

Astronomie, Astrophysik und Kosmologie,    Mathematische Physik

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

Quantenmaterialien, Tieftemperaturphysik,    Kurse und Veranstaltungen für Physikstudenten

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.

The aim is to train undergraduate, post-graduate, early-career and other international junior scientists from the fields of water and the environment, land surface science, water resources, ecology, hydrometeorology, biogeochemistry and other related research areas concerned with the delivery of next-generation land-surface and hydrological predictions. You will learn the technical skills to run JULES and standalone Hydro-JULES tools in order to investigate hydrological processes under current and future scenarios, understand how to use the technical features built in Hydro-JULES for collaboration in scientific projects.

Hydrologie,    Simulation

The aim of this program is to foster the development of new mathematical tools and formalisms that will enable a new generation of ultra-scalable algorithms for a broad range of applications in computational materials science. Topics of interest will include strategies for scalable single-scale simulations, novel massively-parallel scale-bridging algorithms, and integration of extreme-scale computing into experimental and data science workflows. The program will bring together applied mathematicians, materials scientists, computer scientists, and method developers interested in unlocking the potential of upcoming exascale architectures through novel mathematical approaches.

Institute for Pure and Applied Mathematics, UCLA.

Quantitatively predicting the properties of “real” structural materials is an extremely challenging endeavor, as macroscale properties depend on characteristics of the material at every scale, from nanometers (short range order, point defects, etc.), to micrometers (grain size, extended defects, etc.), to centimeters (texture, etc.). Similarly, relevant timescales range from atomic vibrations (picoseconds) to microstructural evolution times (hours to years). This extreme breadth of size and time scales makes the accurate simulations with fully-resolved atomic-scale tools (e.g., molecular dynamics) hopeless. Practical solutions must therefore rely on scale-bridging approaches that systematically upscale the lower scale physics into computationally tractable higher-scale constructs. The premise of this workshop is that extreme-scale computing can breathe new life into the field of multiscale modeling by addressing the problems identified above with brute force computing. This workshop will focus on new mathematical approaches to multiscale/multiphysics modeling, with a particular emphasis on the many theoretical and numerical challenges faced at the exascale. The goal is to bring together specialists in a range of massively parallel algorithms and researchers interested in improving the scalability of current techniques.

Part of the Long Program New Mathematics for the Exascale: Applications to Materials Science, Integration of direct simulations, online data analysis, and experimental data. Mathematical methods for data assimilation. Large-scale inverse problems. Computation-aided online experimental design at massive scales. Active exploration of chemical space using massive quantum calculations. Workflow infrastructure. Integration of numerically-intensive calculations with ML/data-science at scale.

Wissenschaftliches Rechnen und Datenwissenschaft,    Festkörperphysik