Thermal

Acoustic phonons and thermal transport in stacked polydopamine nanomembranes

Adam Krysztofik1, Zuzanna Ewa Kaczmarska1, Kai Xu2, Marcel Boecker3, Mikolaj Pochylski1, Przemyslaw Pula4, Pawel Majewski4, Christopher Synatschke3, Tanja Weil3, Sebastian Reparaz2, Bartlomiej Graczykowski1

Presenting Author:

adam.krysztofik@amu.edu.pl

Polycatecholamines and polyamides have received significant attention in recent years due to their wide-ranging applications in coating technologies, composite materials, sensing, and biomedicine (1,2). Among them, polydopamine (PDA), inspired by the adhesive properties of mussels, exhibits exceptional adhesion to nearly any surface.

In this study, we investigate the elastic and thermal properties of PDA using micro-Brillouin light scattering spectroscopy (µBLS) and frequency-domain thermoreflectance (FDTR). PDA layers, approximately 20 nm thick, were synthesized via cyclic voltammetry electropolymerization and subsequently stacked to form thicker freestanding membranes. µBLS spectroscopy, performed in backscattering geometry with a high-contrast tandem-type Fabry–Pérot interferometer, enabled the analysis of flexural (antisymmetric Lamb, A0 mode) waves and the determination of the Young modulus. The results indicate that the stacking process does not deteriorate the elastic properties, suggesting that the multilayer structure behaves as a single, mechanically homogeneous film.

Similarly, FDTR measurements provided both in-plane and cross-plane thermal conductivity values, revealing isotropic thermal transport independent of the total layer thickness. This further supports the conclusion that stacked layers function as a single thermally uniform medium.

Additionally, we demonstrate that the analysis of phononic dispersion relations and FDTR data can be significantly enhanced through the use of neural networks. By employing multilayer perceptrons and Kolmogorov–Arnold networks as universal approximators, we streamline the modeling process—eliminating the need for complex programming and enabling fast, straightforward, and user-friendly data analysis.

References
1. A. Krysztofik, M. Warżajtis, M. Pochylski, M. Boecker, J. Yu, T. Marchesi D’Alvise, P. Puła, P. W. Majewski, Ch. V. Synatschke, T. Weil and B. Graczykowski, Multi-responsive poly-catecholamine nanomembranes, Nanoscale 16, 16227-16237 (2024) , DOI: 10.1039/D4NR01050G
2. A. Krysztofik, P. Puła, M. Pochylski, K. Załęski, J. Gapiński, P. W. Majewski, B. Graczykowski, Fast Photoactuation and Environmental Response of Humidity‐sensitive pDAP‐silicon Nanocantilevers, Advanced Materials 36, 2403114 (2024), DOI: 10.1002/adma.202403114
Acknowledgments
A. K., Z. E. K., M. P., and B. G. acknowledge the National Science Centre of Poland (NCN) for the OPUS grant UMO-2021/41/B/ST5/03038.