Konferenzen zum Thema Simulation in den Vereinigten Staaten (USA)

Michigan Technological University, Houghton, Michigan

The primary focus of the proposed parallel-in-time workshop is to educate and inspire researchers and students in new and innovative numerical techniques for the parallel-in-time solution of large-scale evolution problems on modern supercomputing architectures, and to stimulate further studies in their analysis and applications.

University of Delaware, Newark, DE

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promoted a broad range of problem-solving skills, including mathematical modeling and analysis, scientific computation, and critical assessment of solutions. The mathematical problems considered at the Camp are highly interdisciplinary in nature and are inspired by real problems that arise in industrial applications. Graduate students work on the problems in teams, guided by an invited faculty mentor, so that scientific communication is an important and integral component of the work. As a result, the GSMM Camp exposes graduate students to real-world problems of current scientific interest, and provides a valuable educational and career-enhancing experience outside of the traditional academic setting.

Society for Industrial and Applied Mathematics (SIAM)

The SIAM Conference on Optimization will feature the latest research on the theory, algorithms, software, and applications of optimization. A particular emphasis will be put on applications of optimization in AI and data science, quantum computing, health care, finance, aeronautics, control, operations research, and other areas of science and engineering. The conference brings together mathematicians, operations researchers, computer and computational scientists, engineers, software developers and practitioners, thus providing an ideal environment to share new ideas and important problems among specialists and users of optimization in academia, government, and industry.

This is the meeting of the SIAM Activity Group on Optimization.

University of California-Santa Cruz, California

ICERM

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.

Program Coordinator;     Tel.: [401-863-5030];     Email: info@icerm.brown.edu

Mathematical modeling, dynamical systems techniques, stochastic variability

Meteorologie und Klimaveränderung,    Computerphysik und Numerische Simulation

Society for Industrial and Applied Mathematics (SIAM)

Geometrie und Topologie,    Computerphysik und Numerische Simulation

ASME - American Society of Mechanical Engineers

The International Mechanical Engineering Congress and Exposition (IMECE) is ASME's largest research and development conference focused primarily on mechanical engineering, but encompasses perspectives from many engineering disciplines. IMECE is THE place for you to present your technical research and expertise, while also learning from and connecting with thousands of your peer researchers on a global level.

At IMECE you’ll experience stimulating innovation from basic discovery to translational application of new approaches and foster collaborations that engage stakeholders and partners not only from academia, but also from national laboratories, industry and government funding bodies. No other conference will provide you with more broad, but salient perspectives and knowledge-sharing on technical advances within mechanical engineering, than IMECE.

Mechanical Engineering, Acoustics, Vibration, Phononics, Advanced Manufacturing, Advanced Materials, Design, Processing, Characterization and Applications, Aerospace, Biomedical Engineering, Biotechnology, Dynamics, Vibration, and Control, Energy, Engineering Education, Fluids Engineering, Heat Transfer, Thermal Engineering, Safety Engineering

Maschinenbau,    Ingenieurwesen