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Taylor Sloop Date
April 8th, 2022
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It has long been known that weakly nonlinear field theories can have a late-time stationary state that is not the thermal state, but a wave turbulent state (the Kolmogorov-Zakharov state) with a…
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Vladimir Rosenhaus Date
April 12th, 2022
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Ellen Zegura Date
December 9th, 2021
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We often find ourselves working with systems for which governing equations are unknown, or if they are known, they may be high-dimensional to the point of being difficult to analyze and prohibitively…
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Daniel Floryan Date
November 3rd, 2021
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Model reduction techniques have previously been applied to evolve the Navier-Stokes equations in time, however finding the minimal dimension needed to correctly capture the key dynamics is not a…
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Carlos Pérez De Jesús Date
November 3rd, 2021
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Part 2: Deep reinforcement learning (RL), a data-driven method capable of discovering complex control strategies for high-dimensional systems, requires substantial interactions with the target…
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Michael Graham, Kevin Zeng Date
October 27th, 2021
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PART 1Speaker Mike Graham Overview: Data-driven dimension reduction, dynamic modeling, and control of complex chaotic systemsOur overall aim is to combine ideas from dynamical systems theory and…
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Michael Graham, Alec Linot Date
October 20th, 2021
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In the 1950s and '60s, scientists and engineers were hailed as saints of progress. People believed that technology would solve all of the world's problems. But the science fiction and…
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Gideon Marcus Date
October 14th, 2021
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Kanfer will discuss the book’s strategies and tools for addressing problems related to employee motivation, performance, and well-being in the context of rapid technological and social change.…
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Ruth Kanfer Date
June 7th, 2021
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4:50 p.m Closing Discussion: Symposium Chairs 5:20 p.m. Closing Remarks: Elebeoba May, NSF
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Elebeoba May, B. Aditya Prakash, Paul Torrens, Krista Wigginton, John Yin Date
February 23rd, 2021
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Session 4, Physiological and Environmental Level Theme Chairs: Krista Wigginton and John Yin2:10 p.m. Denise Kirschner, Michigan, Plenary Talk 2:30 p.m. Vipin Kumar, UMN , Presentation 2:40 p.m. Rita…
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Rita Colwell, Denise Kirschner, Vipin Kumar, Krista Wigginton, John Yin Date
February 23rd, 2021
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Session 3, Population Level Theme Chairs: B. Aditya Prakash and Paul Torrens10:30 a.m. Bryan Grenfell, Princeton, Plenary Talk 10:50 a.m. Bin Yu, UC Berkeley, Presentation 11:00 a.m. Jordan Peccia,…
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Bryan Grenfell, Jordan Peccia, B. Aditya Prakash, Paul Torrens, Bin Yu, Date
February 23rd, 2021
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Session 2, Molecular Level Theme Chairs: John Yin and Paul Torrens2:25 p.m. Paul Turner, Yale, Plenary Talk 2:45 p.m. Marc Riedel, UMN, Presentation 2:55 p.m. David Van Valen, Caltech, Presentation…
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Marc Riedel, Paul Torrens, Paul Turner, David Van Valen, John Yin Date
February 22nd, 2021
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Session 1, End-to-End Theme Chairs: B. Aditya Prakash and Krista Wigginton10:45 a.m. Madhav Marathe, UVA, Plenary Talk 11:05 a.m. Debra Peters, USDA, Presentation 11:15 a.m. Ruian Ke, LANL,…
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Ruian Ke, Madhav Marathe, Debra Peters, B. Aditya Prakash, Krista Wigginton Date
February 22nd, 2021
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10:00 a.m. Opening Remarks: Sethuraman Panchanathan, NSF Director 10:10 a.m Welcome Statement: Mitra Basu, NSF 10:15 a.m. Technical Background: Symposium Chairs
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Mitra Basu, Sethuraman Panchanathan, B. Aditya Prakash, Paul Torrens, Krista Wigginton, John Yin Date
February 22nd, 2021
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Recently there has been renewed interest in the long-standing goal of somehow unifying the capabilities of both statistical AI (learning and prediction) and symbolic AI (knowledge representation and…
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Alexander Gray Date
January 15th, 2021
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