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Supercell Methods for Defect Calculations
Periodic boundary conditions enable fast density-functional-based calculations for defects and their complexes in semiconductors. Such calculations...
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From Point Defects to Defect Complexes
Most of the materials have dopants to create functionalities. However, due to the high demands on material functionality in cutting-edge devices, the...
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Trivalent Atom Defect-Complex Induced Defect Levels in Germanium for Enhanced Ge‑Based Device Performance
Defect complexes have a significant impact on the structural, electronic, optical and electrical properties of semiconductors. Several defect...
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Uniaxial Tensile Performance in the Presence of a Defect: Prediction Through a Defect-Tolerant Design Framework
The inherent imperfections introduced during the manufacturing processes of casting, welding, and additive manufacturing often result in compromised...
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Defect spinel oxides for electrocatalytic reduction reactions
Electrocatalytic reduction reactions play a crucial role in electrochemical energy conversion and storage technology, which are emerging technologies...
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Development of a new critical size defect model in the paranasal sinus and first approach for defect reconstruction—An in vivo maxillary bone defect study in sheep
Fractures of the paranasal sinuses often require surgical intervention. Persisting bone defects lead to permanent visible deformities of the facial...
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Machine-learning structural reconstructions for accelerated point defect calculations
Defects dictate the properties of many functional materials. To understand the behaviour of defects and their impact on physical properties, it is...
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Strain-modulated defect engineering of two-dimensional materials
Strain- and defect-engineering are two powerful approaches to tailor the opto-electronic properties of two-dimensional (2D) materials, but the...
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Tuning properties of graphene by oxygen plasma treatment-induced defect engineering
Defects are inevitable throughout the entire graphene cycle, from fabrication to practical application. Therefore, illustrating how imperfections...
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Failure Analysis of Drive Head Bolt by Seam Defect
The present work investigates the failure of a bearing cap bolt of a commercial vehicle that suffered a premature failure after running for 1810 kms....
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Trends in defect passivation technologies for perovskite-based photosensor
Perovskites are semiconductor materials with the ABX3 structure, and they possess several attractive features, such as a tunable bandgap, high...
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WeldNet: a lightweight deep learning model for welding defect recognition
Weld defect detection is an important task in the welding process. Although there are many excellent weld defect detection models, there is still...
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A New Method for Wellhead Device Defect Identification with Ultrasonic Signals
AbstractIn this paper, we use ultrasonic detection to study the feature extraction and pattern recognition of defects in wellhead devices and to...
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Machine learning potential assisted exploration of complex defect potential energy surfaces
Atomic-scale defects generated in materials under both equilibrium and irradiation conditions can significantly impact their physical and mechanical...
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Exceptionally strong coupling of defect emission in hexagonal boron nitride to stacking sequences
Van der Waals structures present a unique opportunity for tailoring material interfaces and integrating photonic functionalities. By precisely...
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Evaluating cooling tube effects on defect formation and distribution in Czochralski crystal growth
The quality of silicon ingots is paramount in semiconductor manufacturing as defects profoundly influence the crystal integrity and device...
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An effective defect engineering strategy for giant photoluminescence enhancement of MoS2 monolayers
Two-dimensional (2D) transition metal dichalcogenide (TMDC) materials are considered as promising candidates to extend Moore’s Law. However, the low...
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Defect engineering of silicon with ion pulses from laser acceleration
Defect engineering is foundational to classical electronic device development and for emerging quantum devices. Here, we report on defect engineering...
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Parametric Study of Anomaly Detection Models for Defect Detection in Infrared Thermography
AbstractIn the current NDT 4.0 revolution, machine learning and artificial intelligence have emerged as the major enablers for non-destructive...
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Point-defect-driven flattened polar phonon bands in fluorite ferroelectrics
The scale-free ferroelectric polarization of fluorite M O 2 ( M = Hf, Zr) due to flat polar phonon bands are promising for nonvolatile memories. Defects...
