Statistical Mechanics has been very successful in describing systems at or very near equilibrium. Nonetheless, much of nature are far from equilibrium condition. Our work on the field encompasses experimental, computational and theoretical investigations from dynamics of soft materials to biological organisms and to active matter systems. Recently we have identified a measure to determine the distance of a system from equilibrium. Moreover, using optical means we measured the effective temperature of a particle in an intermittent double well potential.

We study how a single-celled organism, Physarum polycephalum, processes information. Through experimental and theoretical research methods, our research spans multiple disciplines, including chemistry, electronic applications, and mathematics, employing both practical and theoretical approaches. Furthermore, we aim to understand the organism's innate problem-solving abilities, addressing complex problems such as optimization problems, network formation, and route navigation. 

We investigate the behavior and properties of collections of macroscopic particles. These granular materials are studied under different conditions to uncover the underlying principles of their collective behavior. We aim to quantify these properties to develop predictive models and provide a deeper understanding of granular behavior.

Harnessing the power of light, the SMBPL researchers manipulate and study soft matter and biological systems at the micro- and nanoscale with the precision of piconewton-level forces. Using various laser sources, UV, blue, green, red, and infrared, coupled with SLM lasers, we have the techniques and versatility to employ optical trapping for a wide range of research applications.

Because of the growing interest in the field of soft robotics emerging as a significant tool for biomedical applications, we explore bio-inspired robots that will overcome the limitations of conventional rigid robots, which have difficulty adapting to complex environments. Soft materials are needed to ensure safe interactions within human bodies; thus, we use hydrogel as a compliant material because of its unique properties, such as high stretchability, transparency, ion conductivity, and biocompatibility. Integrating the physarum, a noncentralized slime mold that demonstrates capabilities in solving complex problems through phototaxis, chemotaxis, and durotaxis, into the hydrogels will make this combination of decentralized decision-making and adaptive responses a promising tool in the development of new flexible, adaptive, and biologically harmonious systems in the field of soft robotics.

We numerically investigate the dynamic behaviors and emergent phenomena within active matter systems, shedding light on the intricate interplay of forces and collective motion at the microscopic level. Our findings contribute to the understanding of collective behaviors in complex systems, offering a computational lens to explore and predict the dynamics of active matter in various applications and environments.