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Anik Sahoo

Assistant Professor

University of Warsaw

Poland

Research Interests

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Articles (11)

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2026

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

Collaborators (3)

; JSPS Fellow; Ramanujan Fellow; F

Friedrich Wilhelm Bessel Research Awardee-2024, Alexander von Humboldt (AvH) Foundation, Germany)

Technische Universität Darmstadt

GERMANY

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sumanta sahoo

Assistant Professor

Gachon University

SOUTH KOREA

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Uttam Pal

Scientist D

S. N. Bose National Centre for Basic Sciences

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Anik Sahoo

Research Interests

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Articles (11)

Recent advances in carbon-based materials for supercapacitors: synthesis, electrochemical properties, and impact of machine learning

Morin Interacts with α-Synuclein and Retards Its Fibrillation

Impact of Membership Functions on the Performance of AI‐Assisted Neuro‐Fuzzy System for Analysis of Anion‐Responsive Behaviours of Polypyridyl‐Imidazole Based Ru(II) Receptors

Advancing Molecular-Scale Logic Devices through Multistage Switching in a Luminescent Bimetallic Ru(II)-Terpyridine Complex

Fabrication of molecular-scale logic devices and implication of artificial neural networks for analysis of anion-responsive behaviors of luminescent ruthenium-terpyridine complex

Multi-channel anion sensing behaviour of a Ru(II)-bipyridine complex based on benzothiazolyl pyrazole ligand: Experimental and implication of machine learning tools for data prediction

Harnessing Deep Neural Networks to Analyze Multi‐Channel Anion Sensing Characteristics of a Ru(II)‐Pyrazolyl‐Bis(Benzimidazole) Complex

Human brain-inspired chemical artificial intelligence tools for the analysis and prediction of the anion-sensing characteristics of an imidazole-based luminescent Os(<scp>ii</scp>)-bipyridine complex

Modulation of ground and excited state properties of ruthenium complexes through sequential incorporation of metal into a polypyridyl-imidazole bridging ligand

Multi-channel anion and cation sensing conduct of a terpyridyl-imidazole receptor: Experimental demonstration and implication of artificial intelligence tools for analysis and data prediction

Neural network and decision tree-based machine learning tools to analyse the anion-responsive behaviours of emissive Ru(<scp>ii</scp>)–terpyridine complexes

Collaborators (3)

; JSPS Fellow; Ramanujan Fellow; F

sumanta sahoo

Uttam Pal

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