Conférences - Physique numérique - États-Unis

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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:
1195547
2
IPAM-TNS-2021 — IPAM Workshop: Tensor Network States and Applications
19 avr 2021 - 23 avr 2021 • Los Angeles, États-Unis
Organisateur:
Institute for Pure & Applied Mathematics (IPAM), Los Angeles
Résumé:
Due to their high complexity, our understanding of strongly correlated quantum many-body systems is still limited. This concerns, for example, both static and dynamical equilibrium properties of fermionic systems and quantum magnets in condensed matter physics, as well as complex molecules with strong entanglement in quantum chemistry. Other big challenges are the analysis of non-equilibrium dynamics of closed systems, systems interacting with an environment, and transport problems. Tensor network states such as MPS, TTN, PEPS, and MERA are designed to capture the structure of entanglement in quantum systems in compressed representations. They are also particularly well-suited for the study of topological ordered phases of matter which cannot be described within the framework of spontaneous symmetry breaking. A better mathematical understanding of approximate tensor network representations is emerging for cycle-free networks like MPS and TTN. Current interesting questions concern, for example, the algorithmic stability and complexity, error accumulation, and the optimal choice of single-particle orbitals. Much less is known about the mathematical properties of formats like PEPS which allow cycles and are very natural physically for (D>1)-dimensional systems. The cycles can lead to mathematically intricate situations where, for example, the set of tensor network states is not closed. A major long-term challenge is to identify formats and algorithms that combine key physical properties of PEPS with the algorithmic robustness of MPS and TTN. In this workshop, we will focus on the interplay between specific applications and theoretical developments. In particular, we will discuss specific challenging applications, new algorithms, and mathematical properties of tensor network state methods for the study of ground states, systems at nonzero temperatures, dynamical response, and non-equilibrium phenomena.
Sujets:
tensor network states, tensor decompositions, quantum many-body physics, quantum chemistry
Identifiant de l'évènement:
1412123
3
ICCHENP – 2021 — International Conference on Computing in High Energy and Nuclear Physics (ICCHENP – 2021)
17 mai 2021 - 23 mai 2021 • Norfolk, États-Unis
Contact:
Email.: https://www.jlab.org/conference/CHEP2021
Identifiant de l'évènement:
1393759
Sujets apparentés:
4
Recent Advances in the Physics of Elastic Films
24 mai 2021 - 27 mai 2021 • UC Santa Barbara, États-Unis
Organisateur:
Kavli Institute for Theoretical Physics (KITP)
Résumé:
Thin elastic films can be found everywhere: they occur naturally (lipid membranes, viral capsids, plant leaves, epithelial tissues, seashells, etc.) and as man-made materials (paper, graphene, fabrics, concrete shells, etc.). Since their resistance to bending must obey purely geometric surface constraints, stress and geometry are intricately coupled, often leading to unexpected and very nonlinear responses to perturbations. Recent progress in theoretical and experimental approaches, as well as novel technological applications, have advanced the frontier of this field, but also brought challenging new problems into focus, to which this conference is dedicated. Examples of interest include extreme mechanics, the cross-talk between stress and geometry, fluctuations in and out of equilibrium, frustrated internal stresses, and wetting of deformable sheets. We strive for a highly multidisciplinary meeting, in which experimentalists, theorists, and numerical simulators explore open questions in both biological and man-made model systems, examine the promise of novel theoretical and numerical techniques, identify the current frontier of understanding, and speculate on what type of new ideas or tools might be needed to push it further.
Identifiant de l'évènement:
1246654
5
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:
1385086
6
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:
1376472
Sujets apparentés:
7
Machine Learning for Climate
01 nov 2021 - 04 nov 2021 • Santa Barbara, États-Unis
Organisateur:
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
Résumé:
The theoretical understanding of the Earth system has fundamentally advanced in recent decades in parallel to an exponential increase of observations and modeling data. However, climate scientists cannot meet the challenge of informing society about changes that may occur in the future at regional and local scales because many two-way, multi-scale processes that encompass the physical chemical and biological realms continue to elude us. Big data and the associated algorithms (Machine Learning) provide the opportunity to learn about quantities related to the climate systems in ways and with an amount of detail that were infeasible only a few years ago. The opportunity for descriptive inference creates the chance for climate scientists to ask causal questions and create new theories or validate old ones. Furthermore, when paired with modeling experiments or robust research in model parameterizations, “big data” can provide data-driven answers to vexing questions.

This conference will set the stage for exchanging tools and ideas and will help identify key problems where consistent progress is achievable through collaborative efforts. The theme of the conference will extend more broadly than the Physics focus of the main program, in order to elicit input from a wide range of experts across the earth system and computational sciences who are involved in the climate change problem. Given the level of interdisciplinarity and exchange that we aim for and expect, this conference will summarize current understanding and open questions, and will set the stage for achieving the aims of the associated KITP program.

Identifiant de l'évènement:
1395735
8
Transport in Stellar Interiors
15 nov 2021 - 18 nov 2021 • Santa Barbara, États-Unis
Organisateur:
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
Résumé:
Many of the largest uncertainties in the physics of stars are related to transport in their interiors, including the transport of heat, chemical elements, and angular momentum. Our current understanding of these processes has been challenged and refined by recent advances in observational data, including TESS and spectroscopic studies, by new work on 1D models, and by the ability to generate more sophisticated 3D simulations. This conference will bring together members of the community working on transport processes from a variety of angles, including observations, theoretical calculations, and stellar models, with an emphasis on how these techniques can be combined to improve our understanding of stellar physics.
Identifiant de l'évènement:
1395734
9
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: 04 Mars 2021