Faculty Information

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Moupriya Das

Assistant Professor

Office:

A11-424
School of Chemical Sciences

Personal Information

Professional Experience

Assistant Professor, IIT Mandi, (January 2022)

Researcher, Nordic Institute for Theoretical Physics, Stockholm, Sweden, June 2021 – January 2022

Guest Scientist, Max Planck Institute for the Physics of Complex Systems, Dresden, Germany, March 2019 – June 2021

Postdoctoral Researcher, University of Massachusetts Boston, Boston, USA, March 2016 – October 2018

Educational Background

Ph. D from Indian Association for the Cultivation of Science, Kolkata, India (Advisor: Prof. Deb Shankar Ray), 2010 - 2015

M.Sc. (Post B. Sc. Integrated Research Program) from Indian Association for the Cultivation of Science, 2008 - 2010

B.Sc. (Chemistry) from Jadavpur University, 2005 - 2008

Research Area

Broad Area

Nonequilibrium Statistical Mechanics and Dynamical Systems Theory

Specific Areas

1. Stochastic thermodynamics

Applications in

Chemical reaction networks

Chemical computations

Finite-time computation

2. Soft condensed matter

Study of properties of simple fluids using the aids of dynamical systems theory

3. Transport phenomena

Spontaneous and driven transport over energy and entropy barriers

4. Climate science

Linkage between climate change and economy

Stochastic and dynamical modifications to Integrated Assessment Model

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Teaching

CY513 - Reaction Dynamics, Kinetics and Catalysis

CY521 - Mathematics for Chemists

Awards, Recognition and Membership

Member of American Physical Society

Ramanujan Fellowship awarded by SERB, Govt. Of India (August 2021)

DST Inspire Faculty Fellowship awarded by DST, Govt. Of India (July 2018)

Senior Research Fellowship (SRF) by CSIR, India (2013-2015)

Junior Research Fellowship (SRF) by CSIR, India (2010-2013). All India Rank: 43

Post B. Sc. Integrated Research Fellowship awarded by Indian Association for the Cultivation of Science, India (2008 - 2010)

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Moupriya Das

Research Area

Nonequilibrium Statistical Mechanics

Dynamical Systems Theory

Research Interests

The purpose of science is to understand our surroundings in a logical manner and apply this realization for the benefits of mankind. Broadly speaking, we aim to understand important and interesting natural processes; i.e., physical, chemical and biological functions, using statistical mechanical tools and dynamical systems theory and design efficient systems to perform the desired actions using the same. The first part of our research activity contributes towards basic sciences and the second part to technology.

Almost all natural processes occur through nonequilbrium paths and consequently, are subject to fluctuations. Therefore, it is very important to study the roles and properties of fluctuations to understand characteristic natural phenomena. The general research interest of the group is to perform proper analysis of fluctuations related to natural processes and also to figure out efficient control of fluctuations to design useful systems to carry out some intended functions. Currently our specific interests are on the study of chemical reaction networks and chemical computations from the perspective of stochastic and information thermodynamics, optimization of finite-time computation, transport over energetic and entropic barriers, study of simple fluids from the viewpoint of dynamical systems theory, exploring the linkage between global warming and economy to propose better strategies to control climate change.

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Representive Publications
  • Moupriya Das and Holger Kantz, ‘Role of thermal fluctuations in biological copying mechanisms’, Physical Review E 103, 032110 (2021).
  • Moupriya Das and Holger Kantz, ‘Stochastic resonance and hysteresis in climate with state-dependent fluctuations’, Physical Review E 101, 062145 (2020).
  • Moupriya Das and Jason R. Green, ‘Critical fluctuations and slowing down of chaos’, Nature Communications 10, 2155 (2019).
  • Moupriya Das and Jason R. Green, ‘Self-averaging fluctuations in the chaoticity of simple fluids’, Physical Review Letters 119, 115502 (2017).
  • Moupriya Das, ‘Capturing the Landauer bound through the application of a detailed Jarzynski equality for entropic memory erasure’, Physical Review E 90, 062120 (2014).
2022

Ludvico T. Giorgini, Ralf Eichhorn, Moupriya Das, Woosok Moon, John S. Wettlaufer, ‘The Thermodynamic Cost of Erasing Information in Finite-time' (submitted) arXiv preprint arXiv:2206.02064.

2021

Moupriya Das and Holger Kantz, ‘Role of thermal fluctuations in biological copying mechanisms’, Physical Review E 103, 032110 (2021).

2020

Moupriya Das and Holger Kantz, ‘Stochastic resonance and hysteresis in climate with state-dependent fluctuations’, Physical Review E 101, 062145 (2020).

2019

Moupriya Das and Holger Kantz, ‘Logical response induced by temperature asymmetry’, Physical Review E 100, 032108 (2019).

Moupriya Das and Jason R. Green, ‘Critical fluctuations and slowing down of chaos’, Nature Communications 10, 2155 (2019).

2018

Moupriya Das and Jason R. Green, ‘Self-averaging fluctuations in the chaoticity of simple fluids’, Physical Review Letters 119, 115502 (2017).