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For thousands of years, inspired by the star-filled dark night sky, people have wondered what lies beyond Earth. Today, the search for signs of life is a key factor in modern-day planetary…
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Sara Seager Date
November 14th, 2022
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Tensegrities are mechanical structures that include cable-like elements that are strong and lightweight relative to rigid rods yet support only extensile stress. From suspension bridges to the…
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D. Zeb Rocklin Date
April 19th, 2022
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Penning ion traps are useful experimental platforms for quantum simulation, mass spectrometry, precision metrology, and molecular ion spectroscopy. The GTRI Quantum Systems Division (QSD) has…
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Brian C. Sawyer Date
April 11th, 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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Effects of spin-orbit interactions in condensed matter are an important and rapidly evolving topic. A sea change occurred with the discovery of spin-orbit interactions in graphene by Mele and Kane,…
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Gang Cao Date
April 4th, 2022
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Harnessing the behavior of complex systems is at the heart of quantum technologies. Precisely engineered ultracold gases are emerging as a powerful tool for this task. In this talk I will explain how…
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Ana Maria Rey Date
March 28th, 2022
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In recent years, the number of objects in space has grown rapidly, and this growth is projected to continue to accelerate over the next decade. There has also been increased military activity in…
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Mariel Borowitz Date
March 7th, 2022
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The general solution of many-particle quantum systems is exponentially complex, requiring a quantum computer to solve. But for many of the most important properties of realistic experimental systems,…
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Steven R. White Date
December 6th, 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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My lab studies how the movement and shape of living cells is controlled by living materials constructed by protein assemblies within the cell interior. In this talk, I will describe my lab’s…
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Margaret Gardel Date
November 8th, 2021
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Academic collaboration with China was once encouraged by the US government and universities. As tension between the two countries rises rapidly, those who did, especially scientists of Chinese…
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Xiaoxing Xi Date
November 1st, 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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Shifman reviews the growth of quantum physics from its inception in the beginning of the 20th century to its maturity 50 years later. His narrative includes dramatic stories of the quantum pioneers…
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Mikhail Shifman Date
October 25th, 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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Recent developments[1] have shown that the collapse hypothesis is self-inconsistent and is no longer a viable theory. (The collapse hypothesis in quantum mechanics is that the state of a system is…
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Murray Daw Date
October 18th, 2021
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