Author(s): Matthew A. Stoodley, Luke A. Rochford, Tien-Lin Lee, Benedikt P. Klein, David A. Duncan, and Reinhard J. MaurerWe report the quantitative adsorption structure of pristine graphene on Cu(111) determined using the normal incidence x-ray standing wave technique. The experiments constitute an important benchmark reference for the development...

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