Estimation of the covalent binding parameters and the ground state wave functions in complexes doped with vanadyl ion
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.32Keywords:
Electron Paramagnetic Resonance; binding parameters; spin-orbit interaction; spin-Hamiltonian; fermi contact term; hyperfine interaction parameter; parametric angle.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In octahedral complexes doped with transition metal ions the Steven’s model has been used for computing the covalent binding parameters. This model is further used for interpreting the g-factors in various single crystals containing paramagnetic VO2+ ion. Theoretical expressions were given for the g-factors of Vanadyl ions in the crystalline field of cubic nature with components of tetragonal symmetry. The g-factors have been given in terms of covalent binding parameters || and taking into account the tetragonal crystalline field and covalent binding. Computations show that should be less than 0.064 in order to fit the experimental g-values. Using crystal field theory, the ground state wave functions (GSWF) for VO2+ ions in different single crystals has been determined. It is found that GSWF is in dxy state with slight admixture of excited states dx2-y2, dxz and dyz. The hyperfine interaction parameter P and Fermi contact term X have also been calculated.Abstract
How to Cite
Downloads
Similar Articles
- Maysam A. Khabisi, Azar B. Masoudzade, Neda F. Rad, On the effectiveness of receiving teacher and peer feedback as a mediator on Iranian English as a Foreign Language learners’ writing skill: Mobile-mediated vs. direct instruction , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- M. Jayakandan, A. Chandrabose, An ensemble-based approach for sentiment analysis of covid-19 Twitter data using machine learning and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Archana Borde, Dattatraya Pandurang Rane, Pratap Vasantrao Pawar, Role of artificial intelligence in digital marketing in enhancing customer engagement , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- RUCHI SHARMA, YOUGESH KUMAR, STATISTICAL ANALYSIS OF MONOGENEAN POPULATIONS INFESTING FRESH WATER FISH CHANNA PUNCTATUS , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- Showkat Ahmad Shah, Netsanet Gizaw, Impact of selected macroeconomic variables on economic growth in Ethiopia: A time series analysis , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- NITHYA R, shruthi D, Sindhuja S, Sneha S, Challenges encountered by health care professionals in monitoring adverse events due to medical devices: A review , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- G. C. Sowparnika, D. A. Vijula, Modeling and control of boiler in thermal power plant using model reference adaptive control , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Viji Parthasarathy, Manikandasaran S S, Feature Selection Techniques for IOT Crop Yield Prediction Using Smart Farming Sensor Data , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- S. Sathiyavathi, V. Mathivannan, Selvi. Sabhanayakam, Cd4+ CELL COUNTS IN THE PATIENTS OF HIV INFECTED IN SALEM , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
<< < 8 9 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.

