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Karteek K. Bejagam

Researcher at Virginia Tech

Publications -  33
Citations -  895

Karteek K. Bejagam is an academic researcher from Virginia Tech. The author has contributed to research in topics: Supramolecular chemistry & Hydrogen bond. The author has an hindex of 15, co-authored 29 publications receiving 672 citations. Previous affiliations of Karteek K. Bejagam include Jawaharlal Nehru Centre for Advanced Scientific Research & Los Alamos National Laboratory.

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Dipole-Moment-Driven Cooperative Supramolecular Polymerization

TL;DR: Anisotropic long-range intermolecular interactions such as dipole-dipole interaction can serve as a way to obtain cooperative self-assembly and aid in rationalizing and predicting the mechanisms in various synthetic supramolecular polymers.
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Biomimetic temporal self-assembly via fuel-driven controlled supramolecular polymerization.

TL;DR: This work shows a biomimetic, ATP-selective and fuel-driven controlled supramolecular polymerization of a phosphate receptor functionalised monomer, which will usher investigations into synthetic analogues of important biological self-assembly motifs and will prove to be a significant advancement toward biomimetically temporally programmed materials.
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Solvent Clathrate Driven Dynamic Stereomutation of a Supramolecular Polymer with Molecular Pockets

TL;DR: It is demonstrated how the molecular design of self-assembling building blocks can orchestrate the organization of surrounding solvent molecules, which in turn dictates the helical organization of the resulting supramolecular assembly.
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Supramolecular polymerization of benzene-1,3,5-tricarboxamide: a molecular dynamics simulation study.

TL;DR: The free energy (FE) of dimerization and of solvation has been determined and the FE of association of a BTA molecule to an oligomer exhibits a dependence on the oligomer size, which is a robust signature of cooperative self-assembly.
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Autoresolution of Segregated and Mixed p‐n Stacks by Stereoselective Supramolecular Polymerization in Solution

TL;DR: A "chirality driven self-sorting" strategy is introduced for the controlled supramolecular organization of donor (D) and acceptor (A) molecules in multicomponent assemblies and p-n nanostructures with controlled molecular-level organization are created.