Abstract A key advantage of utilizing van‐der‐Waals (vdW) materials as defect‐hosting platforms for quantum applications is the controllable proximity of the defect to the surface or the substrate allowing for improved light extraction, enhanced coupling with photonic elements, or more sensitive metrology. However, this aspect results in a significant challenge for defect identification and characterization, as the defect's properties depend on the the atomic environment. This study explores how the environment can influence the properties of carbon impurity centers in hexagonal boron nitride (hBN). It compares the optical and electronic properties of such defects between bulk‐like and few‐layer films, showing alteration of the zero‐phonon line energies and their phonon sidebands, and enhancements of inhomogeneous broadenings. To disentangle the mechanisms responsible for these changes, including the atomic structure, electronic wavefunctions, and dielectric screening, it combines ab initio calculations with a quantum‐embedding approach. By studying various carbon‐based defects embedded in monolayer and bulk hBN, it demonstrates that the dominant effect of the change in the environment is the screening of density–density Coulomb interactions between the defect orbitals. The comparative analysis of experimental and theoretical findings paves the way for improved identification of defects in low‐dimensional materials and the development of atomic scale sensors for dielectric environments.
more »
« less
Defect characterization in optical coatings using scattered light
Optical coatings play a vital role in sensing technologies. The development of new coatings that exhibit minimal optical losses requires a detailed understanding of the development of defects within them. Current methods of defect characterization involve direct microscope imaging or x-ray diffraction studies in the case of crystallites. In this paper, we demonstrate the characterization of coating defects using light scattering, which can yield information about their size, location, and index of refraction. The method requires measuring the scattered power of each individual defect as a function of angle and comparing the data with theoretical models. Finally, we argue that this method can be used for the determination of the defect location within a multi-layer stack.
more »
« less
- Award ID(s):
- 2207858
- PAR ID:
- 10435634
- Publisher / Repository:
- Optical Society of America
- Date Published:
- Journal Name:
- Applied Optics
- Volume:
- 62
- Issue:
- 22
- ISSN:
- 1559-128X; APOPAI
- Format(s):
- Medium: X Size: Article No. 6046
- Size(s):
- Article No. 6046
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Intrinsic defects and their concentrations in hexagonal boron nitride (h‐BN) play a key role in single‐photon emission. In this study, the optical properties of large‐area multilayer h‐BN‐on‐sapphire grown by metal‐organic chemical vapor deposition are explored. Based on the detailed spectroscopic characterization using both cathodoluminescence (CL) and photoluminescence (PL) measurements, the material is devoid of random single‐point defects instead of a few clustered complex defects. The emission spectra of the measurements confirm a record‐low‐defect concentration of ≈104 cm−2. Post‐annealing, no significant changes are observed in the measured spectra and the defect concentrations remain unaltered. Through CL and PL spectroscopy, an optically active boron vacancy spin defect is identified and a novel complex defect combination arising from carbon impurities is revealed. This complex defect, previously unreported, signifies a unique aspect of the material. In these findings, the understanding of defect‐induced optical properties in h‐BN films is contributed, providing insights for potential applications in quantum information science.more » « less
-
Stringent quality requirements for safety-critical applications drive the demand for “zero defects” in modern ICs. In this context, delay characterization of standard cells for resistive open defects is an increasing concern due to aggressive timing margins in digital circuits. The problem is made worse by the large number of open defect sites in standard cells, combined with a wide range of defect resistance values for each site. This incurs possible prohibitive costs for defect simulation and characterization. To alleviate this complexity, we propose Resistive Fault Dominance (RFD) for resistive open defects. RFD eliminates simulations of certain open defects with intermediate defect resistance values that are guaranteed to exceed specified timing margins for standard cells, based on tests for specific “dominant” open defects. This can significantly reduce the computational costs of cell library characterization and simulation effort by 84%-91%. An algorithmic fault simulation methodology for resistive open defects on parasitic-extracted (PEX) transistor level netlists is developed.more » « less
-
Zomaya; Albert (Ed.)Context:Compilers are the fundamental tools for software development. Thus, compiler defects can disrupt development productivity and propagate errors into developer-written software source code. Categorizing defects in compilers can inform practitioners and researchers about the existing defects in compilers and techniques that can be used to identify defects systematically. Objective:The goal of this paper is to help researchers understand the nature of defects in compilers by conducting a review of Internet artifacts and peer-reviewed publications that study defect characteristics of compilers. Methodology:We conduct a multi-vocal literature review (MLR) with 26 publications and 32 Internet artifacts to characterize compiler defects. Results:From our MLR, we identify 13 categories of defects, amongst which optimization defects have been the most reported defects in our artifacts publications. We observed 15 defect identification techniques tailored for compilers and no single technique identifying all observed defect categories. Conclusion:Our MLR lays the groundwork for practitioners and researchers to identify defects in compilers systematically.more » « less
-
A new metric was developed to quantify the impact of surface-connected defects and internal pores of different morphologies, namely irregular lack of fusion (LoF) pores and spherical keyhole pores, on the mechanical properties and fracture location of AlSi10Mg tensile samples fabricated using laser powder bed fusion additive manufacturing. As defect volume alone has been shown to be insufficient to predict fracture location, the proposed defect impact metric (DIM) incorporates contributions from additional defect features, including proximity to the surface, interaction with neighboring defects, morphology, and reduction in load-bearing cross-sectional area to better assess a defect’s propensity for corresponding to fracture location. The fracture location of keyhole samples was captured by large surface-connected defects with numerous neighboring defects and resulted in increased losses in load-bearing area. In contrast, LoF samples fractured at regions with either large surface-connected defects or large internal pores with many defects in close proximity, high curvatures, and large projected areas. The proposed DIM outperformed existing defect-based frameworks in identifying fracture locations in both LoF and keyhole samples by incorporating surface roughness, defect projected area, and interactions between defects based on distance, volume, and configuration. Additionally, the maximum DIM value within the fracture range was more strongly correlated to strength and ductility than porosity or defect size for LoF samples, demonstrating the potential of the DIM to non-destructively assess the effects of defects on mechanical behavior. The broader applicability of the DIM framework was demonstrated in its ability to capture fracture in both PBF-LB AlSi10Mg and Alloy 718.more » « less
An official website of the United States government
