output
20062026
most citedFirst-principles studies of ground- and excited-state properties of MgO, ZnO, and CdO polymorphs

413 citations

Showing 2025Show all

16 papers · 1 filter

astro-ph.SR2025★ 1 cited

Challenging historical novae: AT Cnc (1645), Te-11 (483), and M22 (BC 48) revisited

D. L. Neuhäuser, R. Neuhäuser, V. Hambaryan +2

Connections between novae with shells and historical observations are crucial for astrophysical understanding of long-term evolution of shells and cataclysmic variables. Three of f…

physics.optics2025

Modeling high-order harmonic generation in quantum dots using a real-space tight-binding approach

Martin Thümmler, Alexander Croy, Ulf Peschel +1

Recently, the size-dependence of high-order harmonic generation (HHG) in quantum dots has been investigated experimentally. In particular, for longer driving wavelengths and QDs sm…

cond-mat.mtrl-sci2025

Exchange-Correlation Functionals in 2D Materials: Applications, Challenges, and Limitations

Ahsan Javed, Mahvish Shaheen, Muhammad Shahbaz +3

The rapid development of two-dimensional (2D) materials has reshaped modern nanoscience, offering properties that differ fundamentally from their bulk counterparts. As experimental…

nucl-ex2025★ 9 cited

First Proton-Induced Cross Sections on a Stored Rare Ion Beam: Measurement of 118Te(p,γ) for Explosive Nucleosynthesis

F. Dellmann, J. Glorius, Yu. A. Litvinov +75

We present the first nuclear cross-section measurements of (p,γ) and (p,n) reactions on 118Te at energies relevant for the γ-process nucleosynthesis. Absolute cross-section values…

quant-ph2025★ 2 cited

Back-reflection in dipole fields and beyond

Maksim Valialshchikov, Felix Karbstein, Daniel Seipt +1

Quantum reflection is a fascinating signature of the quantum vacuum that emerges from inhomogeneities in the electromagnetic fields. In pursuit of the prospective real-world implem…

quant-ph2025

Universal computational super-resolution framework for imaging of quantum dots

Dominik Vašinka, Jaewon Lee, Charlie Stalker +9

We present a universal deep-learning method that reconstructs super-resolved images of quantum emitters from a single camera frame measurement. Trained on physics-based synthetic d…