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Pinaki Chaudhury

Researcher at University of Calcutta

Publications -  100
Citations -  958

Pinaki Chaudhury is an academic researcher from University of Calcutta. The author has contributed to research in topics: Simulated annealing & Potential energy surface. The author has an hindex of 15, co-authored 97 publications receiving 876 citations. Previous affiliations of Pinaki Chaudhury include Indian Association for the Cultivation of Science.

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Investigation of plausible mechanistic pathways in hydrogenation of η⁵-(C₅H₅)₂Ta(H)=CH₂: an analysis using DFT and AIM techniques.

TL;DR: Numerical investigations using DFT and AIM calculations lead to a conclusion that the two step strategy of α-insertion followed by subsequent oxidative addition is the preferred one for hydrogenation of η5-(C5H5)2Ta(H)=CH2.
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Structural, spectroscopic and thermodynamic aspects of azide-water clusters: an approach using a conjugated prescription of stochastic and quantum chemical methods

TL;DR: In this paper, the adaptive mutation simulated annealing (AMSA) search strategy was used to explore quantum chemical potential energy to find structures for clusters for n up to 8, and the evaluated structures were then further refined at higher levels of theories to get more accurate values of IR frequencies, interaction energy (IE), solvation energy (SE) and vertical detachment energy (VDE).
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Information processing in a simple one-step cascade

TL;DR: In this article, the authors analyzed the mechanism of information transduction in a simple one-step signaling cascade, where mutual information between the input and the output characterizes the channel capacity, and the Fano factor of the output gives a clear idea of how internal and external fluctuations assemble at the output level.
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Computation of Molecular Electronic Structure by Genetic Algorithm

TL;DR: A variational recipe in a finite basis has been invoked in one of the strategies leading to a matrix eigenvalue problem that has been solved by GA with simultaneous optimization of the basis.
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Enhancing the branching ratios in the dissociation channels for O(16)O(16)O(18) molecule by designing optimum laser pulses: A study using stochastic optimization.

TL;DR: It is shown that the integrated fluxes obtained along the targeted dissociating channel is larger with the optimized pulse than with the unoptimized one and the flux ratios are also more impressive with the optimization pulse.