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The most important thing we can do is inspire young minds and to advance the kind of science, math and technology education that will help youngsters take us to the next phase of space travel.

John Glenn

Colloquia

Physics Conference Room, SB B326
Coffee starts at 12:00 PM and talk starts at 12:15 PM
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3
Feb '25
In-person
+ Online
Flatiron Institute
Mike Shelly
Modeling self-organization in active fluids and materials
Abstract:
From swarms of swimming bacteria to the moving contents of cells, biology is replete with active systems whose microscopic constituents interact by performing mechanical work on a surrounding fluidic medium. This can lead to large-scale, sometimes functional, self-organized structures and complex dynamics. I'll overview the modeling of such systems, focusing first on continuum kinetic theories that couple the micro and macroscopic scales to describe how suspensions of active particles, such as swimming microorganisms, evolve in time. While high-dimensional (5+1) these models have been used to understand observations of novel instabilities, turbulent-like dynamics, and strange rheology, and have been incorporated into more complex models of biological systems. I'll then pivot to describe the emergence of large scale, spontaneously appearing transport flows in developing egg cells. Building on a conception of molecular motors carrying payloads on a flexible polymer assembly, I'll develop an active porous medium model whose instabilities naturally drive the system towards large-scale "twister" flows consistent with experiments.

Bio:  Dr. Michael J. Shelley is an applied mathematician who works on the modeling and simulation  of complex systems arising in physics and biology. He is the Lyttle Professor of Applied Mathematics at the Courant Institute, co-founder of the Courant Institute's Applied Mathematics Lab, and is the Director of the Center for Computational Biology at the Flatiron Institute.  He holds a B.A. in mathematics from the University of Colorado and a Ph.D. in applied mathematics from the University of Arizona. He was a postdoctoral researcher at Princeton University and a member of the mathematics faculty at the University of Chicago before joining NYU. Shelley has received the François Frenkiel Award from the American Physical Society and the Julian Cole Lectureship from the Society for Industrial and Applied Mathematics, and he is a Fellow of both societies. He is also a Fellow of the American Academy of Arts and Sciences and a member of the National Academy of Sciences.
PSB = Physical Science Building
 
24
Feb '25
In-person
+ Online
Rutgers University
Natan Andrei
Integrable Models in Condensed Matter Physics
Abstract:
I will present some introductory notions of integrability and discuss their application to some important models in condensed matter physics such as the Hubbard model, the Heisenberg spin chain and the Kondo model.
3
Mar '25
In-person
+ Online
Rutgers University
Premala Chandra
Light-Induced crystallizations in space and time
17
Mar '25
In-person
+ Online
City Tech, CUNY
Charlotte Welker
Entangled: how cosmic filaments shape the evolution of galaxies
24
Mar '25
University of Colorado, Boulder
Thomas Gomez
Determining Neutron Star Equations of State from Spectroscopy.
Abstract:
Thomas Gomez 1,2*
1University of Colorado
2National Solar Observatory
*Hale Fellow

The equation of state (EOS) is one of the outstanding challenges in neutron star (NS) astrophysics. Accurate determination of their masses and radii will constrain the EOS of nuclear matter. There are multiple efforts underway to determine mass and radius, such as using observations of hot spot radiation being gravitationally bent around the NS. This goal can also be accomplished by measuring the spectrum of the NS directly. In dense plasmas, the widths of spectral lines are dominated by pressure broadening and can therefore be used to determine a star’s gravity. However, the high magnetic field in a NS atmosphere complicates the physics of line broadening creating competing broadening mechanisms. Theoretical developments of line broadening in high magnetic fields indicate that collisions with plasma particles exceed the broadening from the motional Stark effect from the magnetic field. Contrary to past results, this means that spectral lines from neutron star atmospheres can be used to directly determine mass and radius. Recent measurements from the Chandra X-ray telescope give us a clue as to the feasibility of this method.
21
Apr '25
In-person
+ Online
University of Pennsylvania
Arjun Yodh
Transitions, Frustration, and Relaxation in Soft Materials
Abstract:
After a brief introduction to soft condensed matter physics, I will describe work from my lab with colloids and liquid crystals. The colloid experiments explore novel phases, phase transition mechanisms, and relaxation in crystal films and glasses that are relevant to a broad range of hard and soft materials. In a different vein, experiments with liquid crystal drops reveal remarkable “almost biological” shape transformation behaviors.
28
Apr '25
Next Event
In-person
+ Online
Rutgers University
Daniel Kaplan
Quantum geometry goes nonlinear
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This talk is accessible via Zoom or use
meeting ID 829 2687 2594 and passcode 866995 to join
Abstract:
Band theory, one of the enduring successes of the quantum revolution of the past century, has given us a purview into the physics of electrons in solids and has been extensively probed through linear response, and particularly, charge current response.

Here, I will show that nonlinear responses such as optical rectification and second harmonic generation offer a unique window into quantum observables that encode the basic elements of “quantum geometry”, a feature of multiband solids with broken symmetries. Such signals are only measurable going beyond linear response.

I will demonstrate that familiar analogues from the world of differential geometry -- curvatures and metrics – naturally appear in the nonlinear response regime and give rise to currents forbidden in linear response. As direct applications, I will present the mechanism for rectified current generation in twisted Moire superlattices, the Hall current in topological antiferromagnets, the role of quantum geometry in sliding ferroelectricity and time-reversal odd rectification in crystals.

I will conclude with an overview of the many prospective uses of the quantum geometric viewpoint on light-matter interaction, touching on how nonlinear signals can diagnose the order parameter of a topological superconductor, in a manner accessible only beyond the linear regime.
5
May '25
Yale University
Earl Bellinger
Probing Far-Ranging Astrophysics with Big Data and Machine Learning
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Abstract:
Space telescopes like the NASA Kepler and TESS missions as well as the forthcoming PLATO mission are driving a data revolution in astrophysics. The ultra-precise observations provided by these missions are challenging our best models of how stars evolve, and are in turn granting insights into the formation and evolution of planetary systems and the Galaxy as a whole. They furthermore present novel opportunities to probe far-ranging physics, such as dark matter and theories of gravity beyond general relativity. In this talk, I will give an overview of the data, models, challenges, and opportunities in astronomy, and highlight the role that machine learning is playing in advancing our knowledge across astrophysics.