Author(s): Sergey Prosandeev, Charles Paillard, and L. BellaicheWe derive a numerical method based on coupled density functional theory and effective Hamiltonian schemes to calculate the linear and quadratic electro-optic response of ferroelectrics at finite temperature and in different frequency ranges. By applying the developed method to BaTiO3, we...

Author(s): Joscha Heinze, Alex Gill, Artemiy Dmitriev, Jiří Smetana, Tianliang Yan, Vincent Boyer, Denis Martynov, and Matthew EvansWe present the operating principle and the first observing run of a novel kind of direct detector for axions and axionlike particles in the galactic halo. Sensitive to the polarisation rotation of linearly polarised laser...

Author(s): Samarth Agrawal, Sandra Galmarini, and Martin KrögerInvestigating heterogeneous materials’ microstructure, often simulated using periodic images, is crucial for understanding their physical traits. We propose a generic spring-based representation for periodic two-component structures. The equilibrium energy in this framework serves as an...

Author(s): Edward Gillman, Dominic C. Rose, and Juan P. GarrahanTensor network methods and reinforcement learning are combined to solve dynamical optimization tasks relevant to both nonequilibrium physics and machine learning. [Phys. Rev. Lett. 132, 197301] Published Tue May 07, 2024

Author(s): Tine Curk, James Daniel Farrell, Jure Dobnikar, and Rudolf Podgornik[Phys. Rev. Lett. 132, 199901] Published Tue May 07, 2024

Author(s): Pablo M. Poggi, Gabriele De Chiara, Steve Campbell, and Anthony KielyWe study the robustness of the evolution of a quantum system against small uncontrolled variations in parameters in the Hamiltonian. We show that the fidelity susceptibility, which quantifies the perturbative error to leading order, can be expressed in superoperator form...