JILA Auditorium

Abstract: Achieving ballistic, coherent charge and energy flow in materials at room temperature is a long-standing goal that could unlock ultrafast, lossless energy and information technologies. The key obstacle to overcome is short-range scattering between electronic particles and lattice vibrations (phonons). I will describe two promising avenues for realizing ballistic transport in two-dimensional (2D) semiconductors by harnessing hybridization between electronic particles and long-wavelength excitations.

Due to their strong, long-range, and tunable dipolar interactions, ultracold polar molecules can realize spin-motion models with rich many-body physics. Using a spin encoded in rotational states of fermionic KRb molecules, we demonstrate tuning of Heisenberg XXZ models with electric fields and Floquet engineering of XYZ models with microwave pulse sequences. By controlling motion with optical lattices, we explore highly tunable generalized t-J models. Observing new dynamics and phases predicted for these models also requires low-entropy initial states.

Abstract: The Laser Interferometer Gravitational-wave Observatory (LIGO) detected gravitational waves for the first time in 2015. Since then, hundreds more astrophysical observations have been confirmed. To detect these spacetime ripples requires measurement with sub-attometer precision. I will describe the quantum technologies that make such a measurement possible, enabling present and future discoveries.

Host: Ana Maria Rey

The Large Hadron Collider (LHC) at CERN is the most powerful particle accelerator ever constructed. It enables the study of the fundamental structure of matter by providing proton-proton collisions at the unprecedented energy of 6.8 TeV per beam. It delivers an instantaneous luminosity exceeding 2×1034 cm−2s−1 at its two general-purpose detectors, ATLAS and CMS. During high-intensity operation, the LHC now routinely stores energies of 430 MJ per beam—well beyond its original design specifications.

The availability of exascale computing resources has enabled numerical modeling of astrophysical fluid dynamics at unprecedented scale, including studies of MHD turbulence on grids with 10,000^{3} cells, or MHD models of black hole accretion in full GR with radiation transport. Results from a diverse range of applications will be presented, including new insights into the structure of radiation-dominated accretion disks, modeling AGN feedback in elliptical galaxies, and turbulence and cosmic ray transport in the interstellar medium.

How big would Mercury need to be to retain an atmosphere? How close could Venus orbit the Sun before its atmosphere erodes away? Are habitable Earth-like atmospheres even possible around the smallest stars? In this talk, I describe how exoplanet observations are starting to provide insight on what environments permit terrestrial planet atmospheres to thrive.

Solar flares and coronal mass ejections (CMEs) are powered by the sudden release of magnetic energy stored in the Sun’s low corona as a result of magnetic reconnection. Understanding these explosive events requires tracking how magnetic fields evolve—not only during, but also before the eruptions. Yet direct measurements of the 3D coronal magnetic field remain a major challenge. In this talk, I will overview what we currently know about the structure of the pre-eruption magnetic field and the physical mechanisms that trigger eruptions.

Abstract: The launch and commissioning of the James Webb Space Telescope is ushering in a new era in our understanding of our cosmic origins. Galaxies are a fundamental building block of the universe, yet how they formed has remained enigmatic owing to our inability to observe them at early cosmic times. In just its first three years of operation, JWST has already upended our understanding of galaxy and black hole growth in the early universe.

Host: Mihaly Horanyi

Abstract: TBA

Abstract: Breathomics aims to address the current unmet clinical needs by utilizing exhaled breath contents for non-invasive and real-time medical diagnostics. We demonstrate a frequency comb breathalyzer powered by machine learning for detecting COVID-19, finding 85 % accuracy among a 170-subject cohort. To enhance diagnostic power, we introduce Modulated Ringdown Comb Interferometry, a new technique enabling the quantification of “odor” of arbitrarily complex and unknown contents at new record sensing performance and requiring only simple instruments.