发表机构
State Research Institute Center for Physical Sciences and Technology; Faculty of Physics, Warsaw University of Technology（立陶宛物理与技术中心国家研究所; 华沙理工大学物理学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究结合单次飞秒激光写入与富氧退火，实现六方氮化硼中近红外发射体的位点选择性制备，其发射特性可调控，为原子级光源与光子结构耦合提供了可行方案。
AI 中文摘要
六方氮化硼（hBN）中近红外（NIR）发射的空间控制可促进原子级光源与光子结构的耦合，但与氧相关的NIR发射体通常在随机位置形成。本研究结合单次飞秒激光写入与富氧环境退火，以实现剥离hBN中NIR激活向预定义坐标的定向调控。采用532 nm、635 nm和785 nm激发采集的光谱显示，存在延伸至1 μm波长的窄带多峰发射；在写入位点采集的光谱中，785 nm激发下超过83%、635 nm激发下超过71%的光谱包含至少一个810 nm以上的分辨峰。发射强度随写入脉冲能量单调增加，表明存在可调性，且单发射体 regime 的最优条件可能需要更低能量。带通分辨测量显示零延迟关联 dip，其g2(0)值表明存在单光子发射，但也揭示了光谱背景的贡献；785 nm激发下的光谱分辨时间序列显示，记录区间内存在持续带，同时伴有900 nm以上的间歇发射。该方法实现了预定义位点的NIR发射体激活，同时确定了残留的非位点激活和光谱多重性是进一步优化的主要目标。
英文摘要
Spatial control of near-infrared (NIR) emission from hexagonal boron nitride (hBN) would facilitate coupling atomic-scale light sources to photonic structures, yet oxygen-related NIR emitters are generally formed at stochastic locations. Here, we combine single-shot femtosecond laser writing with annealing in an oxygen-rich environment to bias NIR activation toward predefined coordinates in exfoliated hBN. Spectra acquired with 532, 635, and 785 nm excitations show narrow and multipeak emission extending to a wavelength of 1 um. Among the spectra collected at written sites, over 83% under 785 nm excitation and 71% under 635 nm excitation contain at least one resolved peak above 810 nm. The emission intensity increases monotonically with writing-pulse energy, suggesting tunability and indicating that the optimum for the single-emitter regime may require lower energies. Band-pass-resolved measurements show zero-delay correlation dips with g2(0) values indicative of single-photon emission but also reveal contributions from the spectral background. Spectrally resolved time series under 785 nm excitation show persistent bands over the recorded intervals as well as intermittent emission above 900 nm. This approach demonstrates NIR-emitter activation at predefined sites while identifying residual off-site activation and spectral multiplicity as the principal targets for further optimization.
