S. Sangphet | Searcharxiv

arXiv2024

Cuprate-like Electronic Structures in Infinite-Layer Nickelates with Substantial Hole Dopings

The superconducting infinite-layer (IL) nickelates offer a new platform for investigating the long-standing problem of high-temperature superconductivity. Many models were proposed to understand its superconducting mechanisms based on the calculated electronic structure, and the multiple Fermi surfaces and multiple orbitals involved create complications and controversial conclusions. Over the past 5 years, the lack of direct measurements of the electronic structure has hindered the understanding of nickelate superconductors. Here we fill this gap by directly resolving the electronic structures of the parent compound LaNiO$_2$ and superconducting La$_{0.8}$Ca$_{0.2}$NiO$_2$ using angle-resolved photoemission spectroscopy (ARPES). We find that their Fermi surfaces consist of a quasi-two-dimensional (quasi-2D) hole pocket and a three-dimensional (3D) electron pocket at the Brillouin zone corner, whose volumes change upon Ca doping. The Fermi surface topology and band dispersion of the hole pocket closely resemble those observed in hole-doped cuprates. However, the cuprate-like band exhibits significantly higher hole doping in superconducting La$_{0.8}$Ca$_{0.2}$NiO$_2$ compared to superconducting cuprates, highlighting the disparities in the electronic states of the superconducting phase. Our observations highlight the novel aspects of the IL nickelates, and pave the way toward the microscopic understanding of the IL nickelate family and its superconductivity.

cond-mat.supr-con↗

arXiv2018

Statistical mechanics guides the motions of cm scale objects

Calculations and mechanistic explanations for the probabilistic movement of objects at the highly relevant cm length scales has been lacking and overlooked due to the complexity of current techniques. Predicting the final-configuration probability of flipping cars for example remains extremely challenging. In this paper we introduce new statistical methodologies to solve these challenging macroscopic problems. Boltzmann's principles in statistical mechanics have been well recognized for a century for their usefulness in explaining thermodynamic properties of matter in gas, liquid and solid phases. Studied systems usually involve a large number of particles at the atomic scales. However, it is unusual for Boltzmann's principles to be applied to individual objects at centimeter to human-size length scales. We show that the concept of statistical mechanics still holds for describing the probability of a tossed dice landing on a particular face. For regular dice, the one in six probability that the dice land on each face is well known. In the case of orthorhombic dice, this symmetry is broken and hence we need new tools to predict the probability of landing on each face. We propose a new method based on Boltzmann's principles which uses synthetic temperature term. Surprisingly, this approach requires only the dimensions of the thrown object for calculating potential energy as the input, with no other fitting parameters needed. The statistical predictions for landing fit well to experimental data of over fifty-thousand samplings of dice in 23 different dimensions. We believe that the ability to predict, in a simple and tractable manner, the outcomes of macroscopic movement of large scale probabilistic phenomena opens up a new line of approach for explaining many phenomena in the critical centimeter length scale.

cond-mat.stat-mech↗