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http://dx.doi.org/10.1103/physrevc.39.1385 | DOI Listing |
Phys Rev Lett
October 2024
Institute of Quantum Precision Measurement, State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
J Phys Condens Matter
September 2024
Institute for Theoretical Physics, Technical University Braunschweig, D-38106 Braunschweig, Germany.
We study the dynamical response functions relevant for electric field induced two-dimensional (2D) coherent nonlinear optical spectroscopy in a Kitaev magnet at finite temperature. We show that these response functions are susceptible to both types of fractional quasiparticles of this quantum spin-liquid, i.e.
View Article and Find Full Text PDFiScience
September 2023
School of Transportation Science and Engineering, Beihang University, Beijing 102206, China.
The multi-scale modeling of lithium-ion battery (LIB) is difficult and necessary due to its complexity. However, it is difficult to capture the aging behavior of batteries, and the coupling mechanism between multiple scales is still incomplete. In this paper, a simplified electrochemical model (SEM) and a kinetic Monte Carlo (KMC)-based solid electrolyte interphase (SEI) film growth model are used to study the multi-scale characteristics of LIBs.
View Article and Find Full Text PDFPhys Rev Lett
July 2023
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610051, China.
Gradient fields can effectively suppress particle tunneling in a lattice and localize the wave function at all energy scales, a phenomenon known as Stark localization. Here, we show that Stark systems can be used as a probe for the precise measurement of gradient fields, particularly in the weak-field regime where most sensors do not operate optimally. In the extended phase, Stark probes achieve super-Heisenberg precision, which is well beyond most of the known quantum sensing schemes.
View Article and Find Full Text PDFPhys Rev E
June 2023
Department of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, Utah 84112, USA.
Encounter-based models of diffusion provide a probabilistic framework for analyzing the effects of a partially absorbing reactive surface, in which the probability of absorption depends upon the amount of surface-particle contact time. In this paper we develop a class of encounter-based models that deal with absorption at sticky boundaries. Sticky boundaries occur in a diverse range of applications, including cell biology, colloidal physics, finance, and human crowd dynamics.
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