Conférences - Physique numérique

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1
iccmap2021 — International Conference on Computational Mathematics and Applied Physics
04 jan 2021 - 05 jan 2021 • Tokyo, Japon
Organisateur:
Cloud Mind Technologies , Rikkyo University
Résumé:
The aims of this conference is to provide a platform for the scientists, scholars, engineers and students from the universities all around the world and the industry to present ongoing research activities
Contact:
Program Chair;     Tél.: [+81 (0)3-3985-4249];     Email.: registration@iccmap.iisrc.org
Sujets:
Computational Mathematics, applied Physics
Identifiant de l'évènement:
1363225
2
Transport and Mixing in Complex and Turbulent Flows
11 jan 2021 - 15 jan 2021 • Los Angeles, CA, États-Unis
Organisateur:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Résumé:
Transport and mixing are among the most important properties of fluid flows. Indeed, movement of mechanical and thermal energy and material underlies the most basic dynamical phenomena in astrophysics, geophysics and the environment, as well as in biology and myriad industrial and engineering applications. Understanding the fundamental mechanisms and ways to control, bound, limit or enhance transport and mixing are central to many active research fields. The primary objective of this workshop is to bring together mathematicians working on theoretical aspects of fluid mechanics, transport, mixing, and computational aspects of fluid dynamics and data science, with applied scientists working on quantitative modeling and experimental aspects of mixing and transport phenomena. Recent theoretical developments combined with the explosion of data available from observations, experiments and simulations make this an especially appropriate time to bring these disparate communities together to cross-pollinate insights and encourage knowledge transfer and creation.
Identifiant de l'évènement:
1375347
3
Driving Global Inference for New Physics with Machine Learning, Big Data and Large-scale Statistical Simulation
24 jan 2021 - 29 jan 2021 • Banff Centre in Alberta, Canada
Organisateur:
Banff International Research Station for Mathematical Innovation and Discovery (BIRS)
Résumé:
The physical sciences have entered the era of big data, and particle physics is no exception. Extremely powerful particle colliders, telescopes observing light across the energy spectrum, and precise underground experiments have been running for years and have produced remarkably detailed and complex data sets. While no definitive signal of new physics has yet emerged from these experiments, it is quite possible that hints of new phenomena are hidden in these results, only missed due to the limitations of our analysis methods. In this workshop, we will bring together statisticians and physicists to discuss novel methods of data analysis, with a focus on machine learning, in which computers are programmed to think in ways akin to humans. We will launch the development of new computer tools that will allow us to overcome current computational limitations and fully test particle physics theories against all available data, potentially leading to discoveries that will shed light on some of the most profound questions in physics.
Identifiant de l'évènement:
1364042
4
Workshop on Controlling Error and Efficiency of Numerical Models: Methods, benchmarks, and case studies
19 fév 2021 - 21 fév 2021 • University of Ottawa, Canada
Organisateur:
The Fields Institute | University of Ottawa
Identifiant de l'évènement:
1383607
Sujets apparentés:
5
M&C 2021 — INTERNATIONAL CONFERENCE ON MATHEMATICS AND COMPUTATIONAL METHODS APPLIED TO NUCLEAR SCIENCE AND ENGINEERING
11 avr 2021 - 15 avr 2021 • Raleigh, NC , États-Unis
Résumé:
The conference technical program spans not only the traditional transport and reactor physics analysis methods, but also uncertainty quantification methods, non-proliferation and safeguards methods, computational thermal-hydraulics, materials science, and fusion science in order to reflect the remarkable advances in various fields of nuclear science and engineering.
Identifiant de l'évènement:
1195481
6
XX International Workshop on Numerical Methods for Non-Newtonian Flows
06 jui 2021 - 11 jui 2021 • Oaxaca, Mexique
Organisateur:
Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada
Résumé:
Fluids that exhibit physical behaviours which are not Newtonian are extremely common in nature and in industrial contexts. These occur in many processes underlying natural resource industries (mining, oil and gas). These are key in manufacturing industries such as polymer processing and in new environmentally-driven manufacturing products such as printing/layering in battery manufacture, coating flows, drug and droplet encapsulation and many bio-fluid applications (e.g. blood, mucus, semen, synovial fluids). This workshop brings together mathematically oriented scientists and engineers to work on these societally important issues.
Identifiant de l'évènement:
1364719
7
GS21 — SIAM Conference on Mathematical & Computational Issues in the Geosciences
21 jui 2021 - 24 jui 2021 • Milan, Italie
Organisateur:
Society for Industrial and Applied Mathematics (SIAM)
Résumé:
The study of geophysical systems at all scales, whether from a scientific or technological perspective, calls for sophisticated mathematical modeling, efficient computational methods, and pervasive integration with data. This effort is fundamentally interdisciplinary. This conference aims to stimulate the exchange of ideas among geoscientific modelers, applied mathematicians, statisticians, and other scientists, fostering new research in the mathematical foundations with an impact on geoscience applications.
Sujets:
This is the meeting of the SIAM Activity Group on Geosciences.
Identifiant de l'évènement:
1375467
8
Prediction and Variability of Air-Sea Interactions: the South Asian Monsoon
23 aou 2021 - 27 aou 2021 • Providence, États-Unis
Organisateur:
ICERM
Résumé:
A challenge for mathematical modeling, from toy dynamical system models to full weather and climate models, is applying data assimilation and dynamical systems techniques to models that exhibit chaos and stochastic variability in the presence of coupled slow and fast modes of variability. Recent collaborations between universities and government agencies in India and the United States have resulted in detailed observations of oceanic and atmospheric processes in the Bay of Bengal, the Arabian Sea, and the Indian Ocean, collectively observing many coupled modes of variability. One key target identified by these groups was the improvement of forecasts of variability of the summer monsoon, which significantly affects agriculture and water management practices throughout South Asia. The Monsoon Intraseasonal Oscillation is a northward propagating mode of precipitation variability and is one of the most conspicuous examples of coupled atmosphere-ocean processes during the summer monsoon. Simulating coupled atmosphere-ocean processes present mathematical challenges spanning numerical methods, data assimilation, stochastic modeling, dynamical systems and chaos, and uncertainty quantification. Predicting monsoon variability is one of the hardest, most important forecasting problems on earth due to its impact on billions of people, a key aspect of the desire to push weather forecasts into the management-actionable “medium-range” horizon of weeks to seasons. Addressing this challenge requires an interdisciplinary effort to combine observations, computation, and theory. A better understanding of these processes and how they can be represented in a variety of coupled ocean-atmosphere simulations and models (including statistical and dynamical approaches) and forecast systems (including data assimilation techniques and uncertainty quantification) is the primary topic of this workshop. While the set of observations to be discussed will emphasize this region, the mathematical and computational aspects of the program will be significantly broader, covering: coupled ocean-atmosphere modeling for weather models, climate models and idealized models; theory of the atmospheric and oceanic boundary layers, and waves on the interface; data assimilation in coupled modeling systems; and numerical methods for coupled systems.
Contact:
Program Coordinator;     Tél.: [401-863-5030];     Email.: info@icerm.brown.edu
Sujets:
Mathematical modeling, dynamical systems techniques, stochastic variability
Identifiant de l'évènement:
1385042
9
9th International Conference on Electron Tomography
12 sep 2021 - 15 sep 2021 • Egmond aan Zee, Pays-Bas
Résumé:
The 9thelectron tomography congress will bring together the leading experts in hardware development, software development, and the diverse set of applications of electron tomography, particularly in biology.
Sujets:
Topics covered will include: • Recent developments in tomography of large volume samples via FIB milling • Correlative light and electron microscopy • Automatic tilt-series acquisition and reconstruction softwares • High-throughput, large-scale reconstructions of plastic embedded samples • Latest developments in sub-tomogram classification and averaging • Map interpretation, model fitting and animations • Example of recent high impact biological results through tomography
Identifiant de l'évènement:
1383167
Sujets apparentés:
10
Modeling and Computational Approaches to Individual and Collective Cell Movement in Complex Environments
26 sep 2021 - 01 oct 2021 • Oaxaca, Mexique
Organisateur:
Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada
Résumé:
Locomotion of cells, both individually and collectively, plays an important role in development, the immune response, wound healing, and cancer metastasis. Movement requires force transmission to the environment, and motile cells are robustly-designed nanomachines that often can cope with a variety of environmental conditions by altering the mode of force transmission – which ranges from crawling to swimming. The shape and integrity of a cell is determined by its cytoskeleton, and thus the shape changes that may be required to move involve controlled remodeling of the cytoskeleton. Motion in vivo is often in response to extracellular signals, which requires the ability to detect such signals and transduce them into the shape changes and force generation needed for movement. Thus the nanomachine is complex, and while much is known about individual components involved in movement, an integrated understanding of single cell motility, even in simple cells such as bacteria, is not at hand. At the next level, collective movement requires coordination of these nanomachines, which introduces another level of complexity. This complexity has stimulated mathematical modelling and computational simulations of cell and tissue movement at various levels, which has advanced our understanding of movement on multiple time and space scales.
Identifiant de l'évènement:
1364795
11
GD/SPM21 — SIAM Conference on Geometric and Physical Modeling
27 sep 2021 - 29 sep 2021 • University of California, Davis Davis, California, États-Unis
Organisateur:
Society for Industrial and Applied Mathematics (SIAM)
Identifiant de l'évènement:
1376549
Sujets apparentés:
12
Gordon Research Seminar — Computational Chemistry
16 jul 2022 - 17 jul 2022 • Castelldefels, Espagne
13
Gordon Research Conference — Computational Chemistry
17 jul 2022 - 22 jul 2022 • Castelldefels, Espagne
14
Gordon Research Conference — Computational Materials Science and Engineering
31 jul 2022 - 05 aou 2022 • Newry, États-Unis


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Dernière mise à jour: 29 Octobre 2020