Recent Posts
- Review of 2022
- Elucidating the optimized P2 type Na0.67Mn1−xCuxO2 cathode active material via operando XAS
- Python Tutorial: Child Classes
- Cover image Polymer International: A machine learning approach for the design of hyperbranched polymeric dispersing agents based on aliphatic polyesters for radiation curable inks
- A machine learning approach for the design of hyperbranched polymeric dispersing agents based on aliphatic polyesters for radiation curable inks
Tags
academia
academic life
AI
artificial intelligence
Bulk modulus
Ceria
compiler
computational materials science
Computational Philosophy
computers
conference
DFT
diamond
Doping
Experiment
fortran
happy scientist
Hirshfeld-I
HIVE-code
HPC
Low Dimensional Physics
machine learning
Materials Science
Metal-Organic Frameworks
MIL-47
Object Oriented Programming
PhD thesis 1
PhD thesis 2
phonons
PhysRevB
popular science
Pt Nanowires
publishing
python
Rationality
research
science communication
scientific programming
simulation
STM
theory and experiment
Thermal expansion coeficient
tools
visualisation
XRD
Oct 28 2014
Comment on ‘Europium doping induced symmetry deviation and its impact on the second harmonic generation of doped ZnO nanowires’
Abstract
In Dhara et al. 2014 Nanotechnology 25 225202, the authors reported on the synthesis of Eu-doped ZnO nanowires (NWs) and investigated the influence of Eu doping on the second harmonic generation (SHG). Maximum SHG was found to correlate strongly with the structural deformation attributed to Eu3+ doping. In this comment, we show the deformation of interest is due to the presence of Eu2+ dopants, based on both the experimental data presented by Dhara et al. and ab-initio density functional theory calculations.