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In this issue of the Newsletter

The Della Pietra Lectures by Edward Frenkel, University of California, Berkeley

Article by Lorraine Walsh

Charting the Next Decades of U.S. Particle Physics. From Snowmass to the Muon Shot: How the Community Builds a Vision for Discovery

By Patrick Meade. Professor, C.N. Yang Institute for Theoretical Physics, Stony Brook University

Emergence of Order in Fluid Motion. By Theodore D. Drivas

By Theodore D. Drivas. Associate Professor, Department of Mathematics, Stony Brook University

Shocks in Compressible Fluids. By John Anderson

By John Anderson. Assistant Professor, Department of Mathematics, Stony Brook University
News XXV
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In the news

John Pardon Awarded the New Horizons in Mathematics Prize
Uppsala University, Sweden, Awards Prestigious Honorary Doctorate to Dr. Nikita Nekrasov
The Simons Center Congratulates Board of Trustee Chairman Yakov Eliashberg, co-recipient of the BBVA Foundation Frontiers of Knowledge Award, along with Professor Claire Voisin
Nikita Nekrasov Awarded 2023 Dannie Heineman Prize for Mathematical Physics

Virtual Workshop Quantum Hall Effect: Status Report: May 3-7, 2021

Registration for this event has been closed, please watch live at https://scgp.stonybrook.edu/live Organized by: A. Gromov, G. Csáthy, F.D.M. Haldane, S. Simon, D. Son. Two-dimensional electron system (2DES) in a strong magnetic field exhibits extraordinary rich variety of phenomena that arise from the strong interactions between the electrons. Among these phenomena, the most notorious one … Read more

Simons Center Art and Science Program Tuesday Concert Series, Summer 2019

Summer 2019 Tuesday Concerts The Art and Science Program at the Simons Center for Geometry and Physics at Stony Brook University is pleased to present a new music series free and open to the public: Tuesday, July 16, 2019Three Village Chamber Players5:00 – 5:30 pm: Reception in the Simons Center Lobby and Gallery5:30 – 6:30 … Read more

Neural Networks and the Data Science Revolution: from Theoretical Physics to Neuroscience, and Back: January 6-31, 2020

Organized by: Michael R. Douglas, Sergei Gukov, Jim Halverson, Sven Krippendorf, Fabian Ruehle, Giancarlo La Camera, Luca Mazzucato, Jin Wang Live video may be available, please take a look at https://scgp.stonybrook.edu/live. The availability of very large datasets and the striking progress in artificial intelligence are revolutionizing the way scientists approach their disciplines. The deployment of … Read more

Analysis, Dynamics, Geometry and Probability: March 2-6, 2020

Organized by: Hrant Hakobyan, Kirill Lazebnik, Raanan Schul, Scientific committee: Peter Jones, Misha Lyubich, Dennis Sullivan The workshop will bring together experts in Analysis, Dynamics, Geometry and Probability. These fields have had fruitful interaction in the past and present. One example is the connection between Brownian motion, harmonic measure, analysis of singular integrals, and geometric properties of … Read more

Novel Vistas on Vortices: November 11-15, 2019

Organized by: Mathew Bullimore (Durham, UK), Nuno M. Romão (Augsburg, Germany), Sushmita Venugopalan (IMSc Chennai, India) Moduli spaces of symplectic vortices, well known to particle and condensed-matter physicists since the 1970s, have experienced a substantial revival over the last twenty years. This has been motivated, on one hand, by the extension of the vortex equations … Read more

Postponed Recent developments in Lagrangian Floer theory: March 15-19, 2021

This event has been postponed to March 14-18, 2022.   Organized by: Kenji Fukaya, SCGP, Yanki Lekili, King’s College London, Chris Woodward, Rutgers University. The theme of the workshop is structural properties of Lagrangian Floer theory and its applications. Topics will include the behavior of Floer cohomology under various kinds of surgery; formulas for the … Read more

Strings, Geometry, and Data Science: January 6-8, 2020

Organized by: Michael R. Douglas, Sergei Gukov, James Halverson, Sven Krippendorf, and Fabian Ruehle Recent years have seen great progress in data science (DS), specifically within the context of machine learning (ML) and artificial intelligence, which is beginning to lead to breakthroughs in mathematics and theoretical physics. In light of this growing subfield, this conference … Read more

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