DOI: https://doi.org/10.36347/sajb.2025.v13i06.003

Pages: 651-659

An important achievement in physics, the presentation of intelligent hybrid materials provides unheard of the ability to design the next generation tools. A combination of carbon Nano tube (CNTS), polyalinillin (PANI) and epoxy nanoseconds bags is a cooperative that adds environmental responsibility, chemical stability, electrical conductivity and mechanical strength to a single material platform. The structural integrity of the epoxy resin and the electric chemical adaptation capacity of polyaniline is expanded with the underlying properties of carbon Nano tube (CNT), including large tensile strength, remarkable electrical conductivity and a large surface area. This complex combination makes it possible to develop intelligent, flexible materials, which can be used in a variety of contexts, including energy storage systems, biomedical units, data processing frameworks and environmental improvement technologies. Synthesis procedures, morphological and structural properties, physical chemical properties and application-specific performance of CNTS/Pani/Epoxy-nan composts are all investigated in the current study. This makes it clear how this material improves the various components by checking the interaction of Nano and microscale. In addition, we consider how we use treatment methods, structural adaptation and functionalization to adapt material properties for some domain applications. The transmission capacity of these materials has been particularly highlighted: They can be used as electrode materials in flexible super capers and batteries, generations of bioelectricity and wastewater stores provide water cleaner solutions, act as sensing elements in the biosphere and enable calculations through built in. The aim of this research aims to provide CNT, PANI and epoxy Nano composite an intensive disposition as a means of reaching intelligent material systems that have the ability to revolutionize important aspects of contemporary civilization. It is estimated that t