Search for tag: "physics"

Daniel Floryan - Charting dynamics from data

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…

From  Katie Gentilello on November 17th, 2021 0 plays 0  

Xiaoxing Xi - Crackdown on Academic Collaboration with China Harms American Science

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…

From  Katie Gentilello on November 6th, 2021 1 plays 0  

Carlos Pérez De Jesús - Data-driven estimation of inertial manifold dimension for chaotic Kolmogorov flow and time evolution on the manifold

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…

From  Katie Gentilello on November 6th, 2021 1 plays 0  

Michael Graham, Kevin Zeng - Deep Reinforcement Learning Using Data-Driven Reduced-Order Models Discovers and Stabilizes Low Dissipation Equilibria

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…

From  Katie Gentilello on November 6th, 2021 0 plays 0  

Mikhail Shifman - The Beginning of the Quantum Era

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…

From  Katie Gentilello on November 3rd, 2021 0 plays 0  

Michael Graham, Alec Linot - Data-driven dimension reduction, dynamic modeling, and control of complex chaotic systems

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…

From  Katie Gentilello on November 1st, 2021 1 plays 0  

Murray Daw - Collapse of the Collapse: Physicists Return to Reality

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…

From  Katie Gentilello on October 21st, 2021 2 plays 0  

Jasmine Nirody - A tale of two motilities: adaptive biomechanical systems in complex, changing environments

Natural environments are heterogeneous and can fluctuate with time. As such, biomechanical systems from proteins to whole organisms have developed strategies to deal with considerable spatial and…

From  Katie Gentilello on October 1st, 2021 5 plays 0  

John E. Thomas - Optically-Trapped Interacting Fermi Gases

Optically-trapped, ultra-cold gases of spin ½-up and spin ½-down 6Li atoms enable “designer” interactions, offering a versatile environment for simulating exotic quantum…

From  Katie Gentilello on September 17th, 2021 2 plays 0  

Daniel Arovas - Quantum Magnetism from the Iron Age to Today

The quantum theory of magnetism has provided many durable paradigms for quantum phases of matter, including intrinsically quantum disordered states, symmetry-protected topological phases, and quantum…

From  Katie Gentilello on April 22nd, 2021 6 plays 0  

Andrea J. Liu - How materials can learn to function

How does learning occur? In the context of neural networks, learning occurs via optimization, where a loss function is minimized to achieve the desired result. But physical networks such as…

From  Katie Gentilello on April 8th, 2021 3 plays 0  

Ruth Murray-Clay - Origins of Structure in Inner Planetary System

Why do many stars host close-in chains of super-Earths? Why are eccentric gas giants found in some inner planetary systems? What determines which of these outcomes will occur around a particular…

From  Katie Gentilello on March 11th, 2021 2 plays 0  

Predrag Cvitanović, Erin Wells-Bonning - Understanding the 2020 Nobel Prize in Physics + Q&A

Georgia Tech School of Physics professor and Glen P. Robinson Chair in Nonlinear Sciences Chair Predrag Cvitanović and Emory University Senior Lecturer and Director of the Planetarium Erin Wells…

From  Katie Gentilello on January 20th, 2021 3 plays 0  

Michael P. Brenner - Machine Learning for Partial Differential Equations

When Newton's laws are applied in every point in space we arrive at a set of nonlinear partial differential equations describing the world. We often marvel at the complexity of the solutions,…

From  Katie Gentilello on November 30th, 2020 32 plays 0  

Alper Erturk - Leveraging nonlinear dynamics in mechanical and electromechanical structures

This talk will review some of our recent and ongoing efforts on the leveraging of nonlinear dynamics in passive and active structures, spanning from nonlinear energy harvesting using piezoelectric…

From  Katie Gentilello on November 6th, 2020 39 plays 0