Meetings/Workshops on Applied Mathematics (in general) in the United States (USA)
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Machine Learning for Climate
01 Nov 2021 - 04 Nov 2021 • Santa Barbara, United States
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
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.
Winter Simulation Conference 2021 — Simulation for a Smart World: From Smart Devices to Smart Cities
12 Dec 2021 - 15 Dec 2021 • Desert Ridge, AZ, United States
The focus of WSC 2021 is on the design and innovation of smart cities through the use of simulation. Smart devices and sensors offer us an amazing opportunity to create our urban future where cities are safe, environmentally secure, green, and efficient and power, water, transportation work seamlessly towards this goal. This vision relies on significant advancement from simulation both in theory and practice as modelling, experimentation and data analysis needs to come together to tackle various challenges. We invite papers that highlight innovations in both simulation theory and applications, with a specific interest in the use of simulation in smart cities design, implementation, development and vision.
Quantum Numerical Linear Algebra
24 Jan 2022 - 27 Jan 2022 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, United States
This workshop brings together leading experts in quantum numerical linear algebra, to discuss the recent development of quantum algorithms to perform linear algebra tasks for solving challenging problems in science and engineering and for various industrial and technological applications.
Gordon Research Conference — Computational Materials Science and Engineering
31 Jul 2022 - 05 Aug 2022 • Newry, United States
29 Aug 2022 - 02 Sep 2022 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, United States
This workshop will explore a unique combination of data- and model-driven approach by inviting mathematicians and scientists focusing on neurosciences and beyond. We will have an in-depth discussion of data-driven modeling techniques, dynamics reconstruction and characterization over multiple scales treating the underlying systems as structures in space as well as structures in time. Problems to be discussed include: predicting critical transitions from multivariate time series; extracting interactions between brain areas and the effects of anaesthetics; understanding the effects pathologies in the network connectivity and modeling ways to alleviate them; introducing and studying models that depart from functional connectivity. This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
12 Sep 2022 - 16 Dec 2022 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, United States
The goal of this long program proposal is to bring together senior and junior applied mathematicians, physicists, chemists, materials scientists, engineers and biologists to discuss and debate on the current status and future perspectives of modern microscopy using computation, mathematics and modeling. Cryo-EM has revolutionized biology and life science (including very recently solving the 3D atomic structure of COVID-19, which has been greatly facilitating the development of the vaccines) and aberration-corrected electron optics and high brightness X-ray sources have transformed physical science imaging. The next steps in these fields will advance by orders of magnitude the temporal resolution and energy resolution, while maintaining atomic spatial resolution, in a variety of sample environments from near zero Kelvin in vacuum to temperatures of a thousand degrees in a highly corrosive atmosphere. These advances will transform research in macromolecules, materials, energy technologie
Workshop II: Mathematical Advances for Multi-Dimensional Microscopy
24 Oct 2022 - 28 Oct 2022 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, United States
Developing multi-dimensional electron microscopy would have transformative impact in physics, chemistry, materials science, nanoscience and other fields. Advancing the field requires integration of state-of-the-art atomic electron tomography, ptychography, 4D scanning transmission electron microscopy and spectroscopic techniques as well as powerful computational algorithms and mathematical modeling. This workshop will provide the opportunity to present and exchange ideas, share data, and introduce new tools and develop new imaging paradigms needed in a variety of fields.
Workshop III: Cryo-Electron Microscopy and Beyond
14 Nov 2022 - 18 Nov 2022 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, United States
The implementation of advanced algorithms with user-friendly software packages has made the cryo-EM method straightforward in practice. Despite these exciting advances, major challenges still remain, such as higher throughput, mapping continuous deformations, reconstruction of small macromolecules, and in sample preparation. For pleomorphic structures, cryo-electron tomography (cryo-ET) is the method of choice, but it is typically limited to lower resolution compared to cryo-EM, and it remains a daunting challenge to determine macromolecular structures in situ at high resolution. Overcoming these major challenges in cryo-EM and cryo-ET requires significant advances in sample preparation, hardware development and computational algorithms. The goal of this workshop is to bring together leading experts in cryo-EM, biologists, applied mathematicians and physicists to discuss and debate the current challenges and future perspectives of this very exciting cross-disciplinary field.
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Last updated: 13 July 2021