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N. Periasamy

Researcher at Tata Institute of Fundamental Research

Publications -  119
Citations -  5704

N. Periasamy is an academic researcher from Tata Institute of Fundamental Research. The author has contributed to research in topics: Excited state & Fluorescence anisotropy. The author has an hindex of 38, co-authored 119 publications receiving 5430 citations. Previous affiliations of N. Periasamy include Government College of Science & Brandeis University.

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J- and H-aggregates of porphyrin-surfactant complexes: time-resolved fluorescence and other spectroscopic studies

TL;DR: In this paper, the interactions of several water-soluble ionic porphyrins with different ionic or neutral surfactants in aqueous solutions were studied as a function of surfactant concentration.
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Fluorescence Dynamics of Dye Probes in Micelles

TL;DR: In this paper, the rotational and translational diffusion coefficients of the dye, the order parameter, and the semicone angle for the wobbling diffusion in the micelle were determined.
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Time-Resolved Area-Normalized Emission Spectroscopy (TRANES): A Novel Method for Confirming Emission from Two Excited States

TL;DR: A model-free method for constructing time-resolved area-normalized emission spectra (TRANES) using luminescence decays at all emission wavelengths is described in this article.
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Emission properties of manganese-doped ZnS nanocrystals.

TL;DR: Results show that Mn incorporation competes very effectively with the donor-acceptor surface states for the energy transfer from the electron-hole pair excited across the band gap, and suggests an additional decay channel for the surface states via an energyTransfer from these states to the dopant levels.
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Measuring size distribution in highly heterogeneous systems with fluorescence correlation spectroscopy.

TL;DR: A Maximum Entropy Method based fitting routine (MEMFCS) is introduced that analyzes FCS data in terms of a quasicontinuous distribution of diffusing components, and also guarantees a maximally wide distribution that is consistent with the data.