From the 1 of 23 linked papers with an AI index.
23 papers
Nonequilibrium orders in parametrically driven field theories
Carl Philipp Zelle, Romain Daviet, Andrew J. Millis +1
The paper builds a field‑theoretic framework showing that rapid parametric driving can generate nonequilibrium phases, including a time‑crystalline order, in O(N) models that descr…
Quantum Light Nano-Imaging
Michael Dapolito, Matthew Fu, Fuyang Tay +20
Entanglement and quantum correlations are central to the physics of quantum materials, yet they have remained notoriously difficult to access experimentally. Accessing these phenom…
Electron-phonon coupling in correlated materials: insights from the Hubbard-Holstein model
Jennifer Coulter, Andrew J. Millis
Dynamical mean-field theory computations of the electron self energy of the Hubbard-Holstein model as a function of electron-phonon and electron-electron interactions are analyzed…
Squeezing dynamical singlets in bilayer nickelates
Harrison LaBollita, Andrew J. Millis, Olivier Gingras
We present realistic calculations within the density functional plus cluster dynamical mean-field formalism indicating that the physics of the the bilayer Ruddlesden-Popper nickela…
On-demand steering of hyperbolic chiral polaritons
Andrea S. Dai, Fuyang Tay, Ding Xu +11
Control of light polarization and propagation in sub-wavelength architectures is foundational to nanophotonic technologies. A frontier direction is to leverage strong optical spin-…
Machine Learning Phase Field Reconstruction in a Bose-Einstein Condensate
Jackson Lee, Andrew J Millis
A basic challenge in experimental physics is the extraction of information related to variables that are not directly measured. The challenge is particularly severe in quantum syst…