The counterpart of the rotating wave approximation for non-Hermitian Hamiltonians is considered, which allows for the derivation of a suitable effective Hamiltonian for systems with some states undergoing decay. In the limit of very high decay rates, on the basis of this effective description we can predict the occurrence of a quantum Zeno dynamics, which is interpreted as the removal of some coupling terms and the vanishing of an operatorial pseudo-Lamb shift.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517160 | PMC |
| http://dx.doi.org/10.3390/e22060624 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A small cavity for detecting sound-induced flow.
J Acoust Soc Am
January 2025
Department of Mechanical Engineering, Binghamton University, Binghamton, New York 13902, USA.
A study is presented of a method for creating an acoustic flow sensor that is generally compatible with current silicon microfabrication processes. An aim of this effort is to obtain a design consisting of a minimal departure from the existing designs employed in mass-produced silicon microphones. Because the primary component in all of these microphones is the cavity behind the pressure-sensing diaphragm, we begin with a study of the acoustic particle velocity within a cavity in a planar surface.
View Article and Find Full Text PDFMultidimensional quantum dynamics with explicitly correlated Gaussian wave packets using Rothe's method.
J Chem Phys
January 2025
Hylleraas Centre for Quantum Molecular Sciences, Department of Chemistry, University of Oslo, P.O. Box 1033 Blindern, N-0315 Oslo, Norway.
In a previous publication [S. E. Schrader et al.
View Article and Find Full Text PDFSchrödingerNet: A Universal Neural Network Solver for the Schrödinger Equation.
J Chem Theory Comput
January 2025
Department of Chemistry and Chemical Biology, Center for Computational Chemistry, University of New Mexico, Albuquerque, New Mexico 87131, United States.
Recent advances in machine learning have facilitated numerically accurate solution of the electronic Schrödinger equation (SE) by integrating various neural network (NN)-based wave function ansatzes with variational Monte Carlo methods. Nevertheless, such NN-based methods are all based on the Born-Oppenheimer approximation (BOA) and require computationally expensive training for each nuclear configuration. In this work, we propose a novel NN architecture, SchrödingerNet, to solve the full electronic-nuclear SE by defining a loss function designed to equalize local energies across the system.
View Article and Find Full Text PDFMesoporous silica nanoparticles as sensitizers: A novel approach to enhancing shear wave elastography in liver stiffness measurement.
Biomater Adv
January 2025
Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, No.127 Changle West Rd, 710032 Xi'an, Shaanxi, China. Electronic address:
Purpose: The objective of this study is to elucidate the sensitizing effect of mesoporous silica nanoparticles (MSNs) on shear wave elastography (SWE) and to investigate the potential application of MSNs as a sensitizer to enhance the sensitivity of SWE in the diagnosis of metabolic-associated steatohepatitis (MASH).
Materials And Methods: The in vitro gelatin models with varying ratios were assessed using SWE to identify the gelatin ratio that most closely approximates with human liver stiffness. Following the characterization of the dispersion properties of MSNs, in vitro models incorporating MSNs of different particle sizes were developed.
Full analysis for the optical properties of the CsXInBr (X = Cu or Ag) double perovskites using both GW and Bethe-Salpeter approaches.
J Mol Model
January 2025
Department of Physics, Faculty of Sciences, Shahrekord University, P.O. Box 115, Shahrekord, Iran.
Article Synopsis
- Researchers are exploring renewable energy sources like solar cell technology to replace fossil fuels and reduce environmental impacts, focusing on lead-free halide perovskite compounds CsXInBr (where X is Cu or Ag).
- The study found that CsAgInBr and CsCuInBr compounds exhibit desirable properties for solar applications, with calculated optical gaps and high absorption coefficients, particularly noting CsCuInBr's effectiveness in absorbing sunlight due to its high infrared absorption.
- The analysis utilized the Abinit computational package and density functional theory (DFT) to evaluate the electronic, structural, and optical characteristics of these compounds, framing potential applications in solar cells and detectors.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!