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Hexagonal boron nitride (h-BN) has emerged as a promising platform for generating room temperature single photons exhibiting high brightness and spin-photon entanglement. However, improving emitter purity, stability, and scalability remains a challenge for quantum technologies. Here, we demonstrate highly pure and stable single-photon emitters (SPEs) in h-BN by directly growing carbon-doped, centimeter-scale h-BN thin films using the pulsed laser deposition (PLD) method. These SPEs exhibit room temperature operation with polarized emission, achieving ag⁽²⁾(0) value of 0.015, which is among the lowest reported for room temperature SPEs and the lowest achieved for h-BN SPEs. It also exhibits high brightness (~0.5 million counts per second), remarkable stability during continuous operation (>15 min), and a Debye-Waller factor of 45%. First-principles calculations reveal unique carbon defects responsible for these properties, enabled by PLD’s low-temperature synthesis and in situ doping. Our results demonstrate an effective method for large-scale production of high-purity, stable SPEs in h-BN, enabling robust quantum optical sources for various quantum applications. 

During the burial of mudstones, the associated organic matter undergoes gradual thermal maturation, a key process that can influence the reactivity of organic matter during catagenesis, the formation of hydrocarbon deposits and the chemical weathering of mudstones. Conventional methods for assessing the thermal maturity of organic matter often fail to reflect the geochemical heterogeneity between individual organic phases in mudstone samples. Here, we report an alternative, non‐destructive, surficial and micro‐scale (analytical spot size of ~ 300 nm with about 4 μm diffusion depth for micrometre‐size organic grains) method to evaluate the thermal maturity of organic matter in mudstones using the carbonKα X‐ray spectrum measured by field emission‐electron probe microanalyser (FE‐EPMA). Using this method, we observed correlations between parameter values derived from FE‐EPMA spectra, including the peak position, the peak area and the intra‐sample heterogeneity of these measurements, and independently measured vitrinite/solid bitumen reflectance for a suite of mudstones, representing different age, geological context and burial depth. With the increased values in peak area and position, we identified an increase in the carbon mass fraction of organic matter and the mean nominal oxidation state of carbon approaching zero. These trends, which are consistent with aromatisation and graphitisation, provide the rationale for using FE‐EPMA to estimate the thermal maturity of organic matter. To explore some of these trends in more detail, we employed time‐of‐flight secondary ionisation mass spectrometry, X‐ray photoelectron spectroscopy and optical reflectance measurements on a subset of samples. 

Asphaltenes are the heaviest and most polarizable fractions of crude oil. During the oil production process, changes in the temperature, pressure, and oil composition can destabilize asphaltenes. This destabilization leads to asphaltene aggregation and deposition, which can cause major clogging problems in both the wellbore and near-wellbore regions as well as the production facilities. In this study, we developed and investigated the application of acrylic acid and 2-acrylanmido-2-methylpropanesulfonic acid (AA–AMPS)-functionalized magnetic nanoparticles as a surface coating in inhibiting asphaltene deposition. The use of the porous media microfluidic platform allows for efficient evaluation of the effectiveness of the nanoparticle coating in mitigating asphaltene deposition in various crude oils. We demonstrated that the nanoparticle coating is effective in inhibiting asphaltene deposition, showing up to a 75% improvement in permeability change. The study also explores the dynamics of asphaltene aggregation and deposition in different crude oils. We identified factors such as asphaltene aggregate size as well as the physical and chemical characteristics of the aggregates that can determine the effectiveness of different mitigation methods.