Strong interactions between electrons in solids lead to emergent quantum phenomena that can unveil important principles of physics. Recently, the observation of superconducting and correlated insulator states in magic-angle twisted bilayer graphene has promoted two-dimensional van der Waals heterostructures as a novel platform for studying…

In astrophysical fluid dynamics, stars are considered as isolated fluid masses subject to self-gravity. A classical model of a self-gravitating Newtonian star is given by the gravitational Euler- Poisson system, while a relativistic star is modeled by the Einstein-Euler system. In the talk, I will review some recent progress on the local and…

Two-dimensional materials, analogous to Lego on the atomic scale, offer unprecedented opportunities for designing exotic quantum phases through gating, stacking, and angle twisting. The unrivaled tunability gives rise to the flat electronic bands of moiré and crystalline graphene, promoting various correlated states including unconventional…

The Fractional Quantum Hall effect is one of the most fundamental phenomena of quantum physics. Under a very large magnetic field, and at fractional filling of a Landau level, when electrons are “supposed” (by simple band theory) to form a metal, one finds a gapped insulating state that is “topologically ordered” and hosts a huge array of…

Ultracold polar molecules provide a unique platform for simulating quantum many-body systems with long-range interactions. However, their complex internal structures and susceptibility to collisional losses present a significant challenge in both cooling them to quantum degeneracy and controlling their interactions. In this talk, I will present…

The discovery of the Higgs boson by the CMS and ATLAS experiments at the Large Hadron

Collider (LHC) was a monumental achievement, as it confirmed one of the core predictions of the

Standard Model (SM) of particle physics. However, there are still many discrepancies within the

SM, motivating the need for new physics beyond…

The discovery of the neutrino stands as pivotal milestone in the annals of modern physics. Following the initial detection of neutrinos, a diverse array of experiments employing both natural and artificial sources of neutrinos have played a crucial role in shedding light on the elusive nature of these particles, including their intriguing…

Despite a decade of careful searching, signs of new physics at the LHC remain maddeningly elusive. Without a clear frontrunner theory, a rich landscape of creative and innovative searches has emerged around two broad themes: using our detectors in unconventional ways to reconstruct challenging final states, and employing deep learning to gain…

I will discuss how symmetries of quantum spin systems can be realized. For a given realization of a symmetry group G of a 1d spin system, I will define the anomalous index that takes values in the cohomology H^4(BG) of the classifying space of the group. I will show that a G-invariant system with a non-trivial anomalous index can not have a…

LUX-ZEPLIN (LZ) is a direct detection dark matter experiment currently being operated at the Sanford Underground Research Facility (SURF) in Lead, South Dakota. The experiment utilizes a dual phase time projection chamber (TPC) to primarily look for dark matter in the form of Weakly Interacting Massive Particles (WIMPs). The active TPC…

The existence of extra dimensions could lower the fundamental Planck scale to the low TeV scale and very excitingly allow string theory to be probed at the LHC. This talk introduces novel searches for signatures of string theory via three models that have never been searched for by any experiment: scalar cascades, noncommutative black holes,…

Condensed matter physicists understand the universe by tracking collective motions of elementary particles, or quasiparticles, many of which parallel elementary particles in the Standard Model. However, the principle of fractionalization uncovers quasiparticles with no Standard Model counterpart. A seminal example is the fractional quantum Hall…

Neural responses in association brain areas during cognitive tasks are heterogeneous, and the widespread assumption is that this heterogeneity reflects complex dynamics involved in cognition. However, the complexity may arise from a fundamentally different coding principle: the collective dynamics of a neural population encode simple…

The Kaluza-Klein theories represent the classical mathematical approach to the unification of general relativity with electromagnetism and more generally with gauge fields. In these theories, general relativity is considered in 1+3+d dimensions and in the simplest case d=1 dimensional gravity is compactified on a circle to obtain at low…

Machine learning is now a part of physics for the foreseeable future, but many deep learning tools, architectures, and algorithms are imported from industry to physics with minimal modifications. Does physics really need all of these fancy techniques, or does “dumb” machine learning with the simplest possible neural network suffice? The answer…

M- and F-theory compactifications with ADE singularities give rise to non-abelian ADE gauge symmetries. The physical explanation for this phenomenon involves M2-branes wrapped on vanishing cycles. We consider an alternative approach which relies on relating the M-theory three-form to the Chern-Simons form of a bundle, and allows us to address…

Cosmic microwave background polarization on large angular scales contains distinct signals from the epoch of reionization and the primordial gravitational waves, offering promising avenues to probe the neutrino masses and inflation physics. However, ground-based measurements are plagued by atmospheric interference, making this task challenging…

Khuri, in 1995, considered potential scattering for a model where one spatial coordinate in compactified on the circle. He adopted Greens function method to study analyticity property of scattering amplitude. His conclusion was that forward scattering amplitude does not satisfy dispersion relations in certain cases;…

As machine learning algorithms continue to enable and accelerate physics calculations, the development of problem-specific physics-informed machine learning approaches is becoming more sophisticated, impactful, and important. I will describe recent advances in generative modelling emerging from the challenge of…

Dark matter is a hypothetical matter in the universe introduced to coherently explain observations ranging from the scale of galaxies to the whole of the universe. The DarkSide program is a direct dark matter detection experiment that utilizes dual-phase argon time projection chambers. Its preceding experiment, DarkSide-50, has set the…

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