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Arnab Chatterjee

Researcher at Tata Consultancy Services

Publications -  165
Citations -  5916

Arnab Chatterjee is an academic researcher from Tata Consultancy Services. The author has contributed to research in topics: Population & Kinetic exchange models of markets. The author has an hindex of 34, co-authored 142 publications receiving 5149 citations. Previous affiliations of Arnab Chatterjee include Saha Institute of Nuclear Physics & Aalto University.

Papers
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Disorder induced phase transition in kinetic models of opinion dynamics

TL;DR: Results from exact calculation of a discrete version and numerical simulations of the continuous version of the model indicate the existence of a universal continuous phase transition at p=pc below which a consensus is reached.
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Statistical mechanics of competitive resource allocation using agent-based models

TL;DR: A broad spectrum of multi-agent models of competition and the methods used to understand them analytically are reviewed in this paper, where the power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder are discussed.
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A high-throughput phenotypic screen identifies clofazimine as a potential treatment for cryptosporidiosis.

TL;DR: Clofazimine has a long history of use and has demonstrated a good safety profile for a disease that requires chronic dosing for a period of time ranging 3–36 months, and highlights the need for a short dosing regimen and formulations for children < 2 years.
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Statistical Mechanics of Competitive Resource Allocation using Agent-based Models

TL;DR: The power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder are emphasized.
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The Kolkata Paise Restaurant problem and resource utilization

TL;DR: The dynamics of the Kolkata Paise Restaurant problem, which is a repeated game version of any given one shot KPR game, is studied and a number of myopic strategies are studied, focusing on the average occupation fraction of restaurants.