Research

  • Heterogeneous Processes on Surfaces

Understanding active sites in semiconductors is crucial for energy processes, but challenging due to complex interfaces. We focus on characterizing electronic and geometric structures under in situ and operando conditions. Advanced photoemission spectroscopies (XPS and UVS) combined with high-level theoretical methods enhanced interpretation of complex spectra, as demonstrated in our previous works. Our study advances capabilities to describe complex interfaces, particularly 2D materials with heteroatoms/molecules or metallic nanostructures, aiding in energy research.

  • Non-Thermal Plasma Radiation

Low-temperature plasma radiation (LTPR) is crucial for various applications, yielding reactive species that engage chemically with diverse targets. Despite advancements, fundamental studies are needed to understand and control LTPR-initiated chemical reactions. Plasma’s complexity and tunable parameters challenge precise prediction of interaction outcomes. Addressing the need for accurate radiation dose, we developed an in situ technique and molecular probes for real-time measurement of reactive species during plasma irradiation. Systematic data collection across plasma parameters, using DNA as a probe, and integration of machine learning models have enhanced our understanding and enabled correlations between plasma power and radiation dose.

  • Low-Energy Electron Interactions

Investigating dissociative electron attachment (DEA) is crucial in radiation research, yet its significance remains uncertain. Through gas-phase studies we confirmed the formation of transient molecular anions (TMA), yielding identifiable fragments. While mass spectrometry characterizes TMA’s energetic resonance and its products, limited data exists on product energetics. Understanding these energetics enhances our comprehension of DEA and underlying dynamics of the process. Employing modern imaging techniques, such as velocity map imaging (VMI), which we recently developed in our laboratory, promises deeper insights.