Arpit Agrawal
Papers
1
Total Citations
4
H-Index
1
About
Arpit Agrawal is an emerging researcher in the field of smart materials and computational mechanics, with a primary focus on shape memory polymers (SMPs). His work bridges molecular-scale simulations and macroscopic thermomechanical behavior, offering critical insights into the design of stimuli-responsive materials. In his most-cited study, "Investigation of thermomechanical behaviors of acrylate-based shape memory polymers by molecular dynamics simulation" (2024), Agrawal employs molecular dynamics to unravel how polymer networks respond to thermal and mechanical stimuli—a key step toward optimizing SMPs for applications in biomedical devices, actuators, and deployable structures. Although his citation count is still growing (4 citations for this work), the novelty of his approach signals strong potential for impact in the field. Agrawal’s research contributes to a deeper understanding of polymer chain dynamics, glass transition, and shape recovery mechanisms, laying groundwork for next-generation adaptive materials. As a rising scholar, his work exemplifies the integration of computational modeling with materials science, offering a valuable resource for students and researchers exploring the frontiers of responsive polymers.
Research Focus
Key Achievements
Top Papers
- 1