Substrate-dependent interfacial structures of ultrathin poly (methyl methacrylate) films upon annealing revealed by sum frequency generation vibrational spectroscopy

Abstract

Understanding interfacial molecular structures at the polymer/adjacent materials interface is essential for optimizing the performance of energy-related devices. However, it remains insufficiently explored due to limited interface-specific techniques. Here, we employed sum frequency generation (SFG) vibrational spectroscopy to investigate the substrate-dependent interfacial structures of spin-coated ultrathin poly(methyl methacrylate) (PMMA) films (~10 nm) on silica and CaF 2 before and after thermal annealing. PMMA on silica exhibits similar OCH 3 -dominated SFG spectra before and after annealing. In contrast, PMMA on CaF 2 shows a significant decrease in OCH 3 signals and enhancements of CH 2 and CH 3 signals upon annealing, revealing substantial molecular reorganization at the buried PMMA/CaF 2 interface. Quantitative analysis indicates that the OCH 3 groups adopt an average tilt angle of ~77° after annealing, suggesting a more lying-down or disordered orientation.These substrate-dependent differences arise from weaker interfacial interactions and the hydrophobic nature of the CaF 2 surface, which permits greater chain relaxation compared with the hydrogen-bond-constrained PMMA/silica interface. This study provides molecular-level and in-situ insights into substrate-dependent structural evolution in polymer thin films and offers guidance for the interface engineering in photoelectric, photovoltaic, and energy-storage devices.

Supplementary files

Article information

Article type
Paper
Submitted
21 Nov 2025
Accepted
22 Feb 2026
First published
23 Feb 2026

Soft Matter, 2026, Accepted Manuscript

Substrate-dependent interfacial structures of ultrathin poly (methyl methacrylate) films upon annealing revealed by sum frequency generation vibrational spectroscopy

Y. Chen, B. Li, Y. Xie, J. Xu, N. Wang, H. Zhu, P. Hu, X. Han, Z. Sheng and X. Lu, Soft Matter, 2026, Accepted Manuscript , DOI: 10.1039/D5SM01166C

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