Publication

Advanced Multifunctional Nanocomposite Lab

Selected Representative Publications

  • 2023
  • Giant thermal rectification efficiency by geometrically enhanced asymmetric non-linear radiation
  • Seongkyun Kim , Taeyeop Kim , Jaehyun Sung , Yongjun Kim , Dongwoo Lee and Seunghyun Baik Materials Horizons
  • Thermal rectification is an asymmetric heat transport phenomenon where thermal conductance changes depending on the temperature gradient direction. The experimentally reported efficiency of thermal rectification materials and devices, which are applicable for a wide range of temperatures, is relatively low. Here we report a giant thermal rectification efficiency of 218% by maximizing asymmetry in …
  • 2022
  • Invariable resistance of conductive nanocomposite over 30% strain
  • C. MUHAMMED AJMAL, SEOKJAE CHA, WONJOON KIM, K. P. FASEELA, HEEJUN YANG, AND SEUNGHYUN BAIK Science Advances
  • The dependence of the electrical resistance on materials’ geometry determines the performance of conductive nanocomposites. Here, we report the invariable resistance of a conductive nanocomposite over 30% strain. This is enabled by the in situ–generated hierarchically structured silver nanosatellite particles, realizing a short interparticle distance (4.37 nm) in a stretchable silicone rubber matr…
Precise spring constant assignment in elastic network model for identification of vibration frequency and modeshape
Author
Mingwen Hu, Sharad Raj, Byung Kim, Wing Kam Liu, Seunghyun Baik, Taesung Kim, Byeong-Soo Lim & Moon Ki Kim
Journal
Journal of Mechanical Science and Technology
Vol
24
Page
1771-1780
Year
2010
We presented a feasible framework of studying dynamics of macromolecules by applying elastic network model (ENM) and vibration spectroscopy. We first identified the precise force constants of covalent bonds commonly observed in macromolecules by matching their reported Raman shifts data with predicted wavenumbers determined by normal mode analysis (NMA). Assigning the obtained spring constants to other small chemical compounds such as ethynyl isocyanide (C3HN) and diacetylene (C4H2), we not only predicted their vibration wavenumbers precisely but also identified their individual mode shapes from NMA. We extensively tested this chemical information based ENM with one of amino acids, cysteine. Subsequent comparison of frequencies and modeshapes also yields a strong agreement between computed and experimental data. Consequently, the proposed method enables us to identify low frequency modeshapes that are in general functionally important collective motions of macromolecules but have hardly been revealed experimentally even using terahertz spectroscopy.