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Sudip Pan

Researcher at Nanjing Tech University

Publications -  177
Citations -  4449

Sudip Pan is an academic researcher from Nanjing Tech University. The author has contributed to research in topics: Covalent bond & Chemistry. The author has an hindex of 30, co-authored 149 publications receiving 2987 citations. Previous affiliations of Sudip Pan include Center for Theoretical Studies, University of Miami & Jacobs University Bremen.

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Journal ArticleDOI

Modulation of an Anagostic Interaction in SiPSi-Type Pincer Platinum Complexes

TL;DR: In this article, the effect of the variation of the monodentate ligand in 2 by simple substitution reactions was studied, and the results showed that an anagostic interaction was established at the apical position.
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Aromaticity in Polyacenes and Their Structural Analogues

TL;DR: In this paper, the existence of favorable aromaticity criterion in polyacenes is understood in terms of different aromaticity indicators like nu- cleus independent chemical shift (NICS), harmonic oscillator model of aromaticity (HOMA), bond resonance energy (BRE), Clar's � - sextet rule is also very much effective in explaining their aromaticity.
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Lewis Superacidic Heavy Pnictaalkene Cations: Comparative Assessment of Carbodicarbene-Stibenium and Carbodicarbene-Bismuthenium Ions.

TL;DR: In this paper , a comprehensive assessment of Lewis acidity for a series of carbone-stibenium and -bismuthenium ions using the Gutmann-Beckett (GB) method is reported.
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Bare and ligand protected planar hexacoordinate silicon in SiSb3M3+ (M = Ca, Sr, Ba) clusters

TL;DR: In this article , a class of planar hexacoordinate silicon (phSi) atom with the formula SiSb3M3+ (M = Ca, Sr, Ba) was reported, which has D3h symmetry in their global minimum structure.
Book ChapterDOI

Quantitative Structure-Activity/Property/Toxicity Relationships through Conceptual Density Functional Theory-Based Reactivity Descriptors

TL;DR: The successful implementation of Conceptual Density Functional Theory (CDFT)-based global as well as local reactivity descriptors in modeling effective QSAR/QSPR/QSTR is highlighted.