Yun Kyung Shin
Papers
1
Total Citations
9
H-Index
1
About
Yun Kyung Shin is a leading computational materials scientist whose research bridges the atomic-scale design of polymers with their real-world performance. Her primary focus lies in developing and applying reactive force field (ReaxFF) models to unravel the structure-property relationships of advanced polymeric systems, particularly shape-memory polyurethanes (SMPUs). Shin’s most cited work, a 2023 study, demonstrates a ReaxFF model that accurately predicts the physiochemical and mechanical properties of crystalline and amorphous SMPUs, linking hard-segment crystallinity to stimuli-responsive behavior. This contribution is pivotal for designing next-generation smart materials, enabling precise control over shape recovery and durability. With 9 citations on this paper alone, her research is gaining traction for its ability to simulate complex molecular dynamics that experiments cannot easily capture. Shin’s achievements include advancing computational frameworks that accelerate the discovery of sustainable and functional polymers, making her a key figure in the field of multiscale materials modeling. Her work not only deepens fundamental understanding but also offers practical tools for engineers developing adaptive coatings, biomedical devices, and responsive textiles.
Research Focus
Key Achievements
Top Papers
- 1