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Rajendra R. Zope

Researcher at University of Texas at El Paso

Publications -  128
Citations -  2737

Rajendra R. Zope is an academic researcher from University of Texas at El Paso. The author has contributed to research in topics: Density functional theory & Dipole. The author has an hindex of 26, co-authored 120 publications receiving 2319 citations. Previous affiliations of Rajendra R. Zope include United States Naval Research Laboratory & George Washington University.

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Low-lying planar isomers of neutral and charged B 22 clusters

TL;DR: In this paper, the density functional theory was used to investigate low-energy structures of B22 clusters and it was shown that a 22-atom boron cluster prefers a three-dimensional double ring structure with a diameter of 0.58 nm for all of its charged states.
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Dipole polarizability of isovalent carbon and boron cages and fullerenes

TL;DR: In this paper, the first-order response of carbon cages and fullerenes to an applied static electric field was studied and it was shown that the similarity in valence electron structures results in an interesting relation between their dipole polarizabilities.
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Static dipole polarizability of C 70 fullerene

TL;DR: In this paper, the electronic and vibrational contributions to the static dipole polarizability of C70 fullerene were determined using the finite-field method within the density functional formalism.
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Fermi-Löwdin-orbital self-interaction correction using the optimized-effective-potential method within the Krieger-Li-Iafrate approximation

TL;DR: In this article, the FLOSIC-KLI-Iafrate (KLI) approximation to the optimized effective potential was used to calculate the vertical ionization energies of water clusters.
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Atomic Compton profiles within different exchange-only theories

TL;DR: In this article, the impulse Compton profiles (CPs) J(q) and the expectation values for some inert gas atoms (He-Kr) are computed and compared within the Harbola-Sahni (HS), Hartree-Fock (HF) theories and a Self-Interaction-Corrected (SIC) density functional model.