My primary area of interest is in design and fabrication of new materials and morphology for synthetic microswimmers. I would like to combine these new swimmers with various fuels like light, enzymes and catalytically driven ones to improve the efficiency of swimmers in non-toxic environments. I am also interested in imparting sensing capabilities to the synthetic swimmers and studying their behavior. Currently I am working on using light as a fuel for these microswimmers. I have attached the photo.
MSc Functional Advanced Materials and Engineering(Erasmus Mundus) (2014-2015)- Technical University of Darmstadt, Germany
MSc Functional Advanced Materials and Engineering(Erasmus Mundus) (2013-2014)- Institut Polytechnique de Grenoble, France .
B.E. Materials Science and Engineering (2009-2013)– College of engineering, Anna University Chennai, India.
Advanced Functional Materials, 0(0):1704902, January 2018 (article)
Abstract Light‐driven microswimmers have garnered attention for their potential use in various applications, such as environmental remediation, hydrogen evolution, and targeted drug delivery. Janus hollow mesoporous TiO2/Au (JHP–TiO2–Au) microswimmers with enhanced swimming speeds under low‐intensity ultraviolet (UV) light are presented. The swimmers show enhanced swimming speeds both in presence and absence of H2O2. The microswimmers move due to self‐electrophoresis when UV light is incident on them. There is a threefold increase in speed of JHP–TiO2–Au microswimmers in comparison with Janus solid TiO2/Au (JS–TiO2–Au) microswimmers. This increase in their speed is due to the increase in surface area of the porous swimmers and their hollow structure. These microswimmers are also made steerable by using a thin Co magnetic layer. They can be used in potential environmental applications for active photocatalytic degradation of methylene blue and targeted active drug delivery of an anticancer drug (doxurobicin) in vitro in H2O2 solution. Their increased speed from the presence of a hollow mesoporous structure is beneficial for future potential applications, such as hydrogen evolution, selective heterogeneous photocatalysis, and targeted cargo delivery.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems