Research

My research interests include:

Non-equilibrium dynamics in active systems

Emergent collective phenomena and rheology in active matter

Modeling advance adaptive active systems

Active intelligent matter (AIM)

Overview of previous and ongoing research:

Emergent rheology in active matter

Rheology in active matter is an emerging field that explores the flow and deformation properties of systems containing self-propelled particles. These systems exhibit unique behaviors that differ significantly from traditional passive materials.

Key aspects of active matter rheology include self-propulsion effects, where active particles alter fluid properties, leading to unexpected thinning behaviors. The cluster-breaking mechanism, similar to shear thinning in passive systems, disrupts percolating structures. In viscoelastic fluids, active matter modifies particle orientational dynamics due to nonlinear coupling between background shear and disturbance flows.

Active matter rheology has significant implications for materials science, biological systems, and industrial applications. It enables the development of novel materials with tunable properties, enhances understanding of biological processes such as blood flow and bacterial biofilms, and offers potential advancements in food processing, pharmaceuticals, and advanced manufacturing.

Rheology in active matter, bridging non-equilibrium physics, fluid dynamics, and materials science, opens new avenues for designing adaptive and reconfigurable materials with promising research and application potential, including microrobots for targeted drug delivery and microsurgery.

Novel dynamics in dense active matter

Dense active matter systems exhibit a rich array of emergent dynamics and collective behaviors arising from the interplay between particle interactions, self-propulsion, and crowding effects. Dynamical phase transitions occur, such as flocking transitions and glassy dynamics at high densities.

Dense active matter dynamics have significant implications for understanding biological systems, soft matter physics, and complex fluids. They provide insights into collective cell behavior, bacterial colonies, and tissue dynamics. In materials science, these studies enable the development of novel adaptive materials and self-organizing systems.

Research in dense active matter dynamics, bridging non-equilibrium statistical physics, soft condensed matter, and biophysics, opens new avenues for understanding emergent phenomena and designing materials with unique properties. Potential applications include synthetic active materials, microfluidic devices, and understanding complex biological processes like embryonic development and cancer metastasis.

1. Self-Aligning Polar Active Matter. Paul Baconnier, Olivier Dauchot, Vincent Démery, Gustavo Düring, Silke Henkes, Cristián Huepe, and Amir Shee. PREPRINT 

2. Emergent mesoscale correlations in active solids with noisy chiral dynamics. Amir Shee, Silke Henkes, and Cristián Huepe, Soft Matter 2024, 20, 7865-7869. 

 PREPRINT , RESEARCH ARTICLE 

3. Noise-Induced Quenched Disorder in Dense Active Systems. Guozheng Lin, Zhangang Han, Amir Shee, and Cristián Huepe, Phys. Rev. Lett. 131, 168301. PREPRINT , RESEARCH ARTICLE 

Exact dynamics in active systems

Develop analytical methods for precise calculation of statistical properties in active Brownian particle (ABP) systems and related active matter models. These methods employ Laplace transforms of Fokker-Planck equations to compute exact moments of dynamical variables. 

1. Impact of chirality on active Brownian particle: Exact moments in two and three dimensions, Anweshika Pattanayak, Amir Shee, Debasish Chaudhuri, and Abhishek Chaudhuri. PREPRINT

2. Self-propulsion with speed and orientation fluctuation: Exact computation of moments and dynamical bistabilities in displacement. Amir Shee and Debasish Chaudhuri, Phys. Rev. E 105, 054148. PREPRINT , RESEARCH ARTICLE 

3. Active Brownian motion with speed fluctuations in arbitrary dimensions: exact calculation of moments and dynamical crossovers. Amir Shee and Debasish Chaudhuri, Journal of Statistical Mechanics: Theory and Experiment 2022 (1), 013201. PREPRINT , RESEARCH ARTICLE 

4. Active Brownian particles: mapping to equilibrium polymers and exact computation of moments. Amir Shee, Abhishek Dhar, and Debasish Chaudhuri, Soft Matter 16 (20), 4776 - 4787. PREPRINT , RESEARCH ARTICLE 

Dynamical pattern formation in active fluids

Collaborations

INDIA

1. Prof. Debasish Chaudhuri (Institute of Physics, Bhubaneswar)

2. Prof. Abhishek Chaudhuri (IISER Mohali)

3. Prof. Amitabha Nandi (IIT Bombay)

USA

1. Prof. Cristián Huepe (Northwestern University)

2. Prof. Haicen Yue (University of Vermont)

Netherlands

Prof. Silke Henkes (Leiden University)

People's Republic of China (PRC)

Prof. Zhangang Han (Beijing Normal University)