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Lanthanum-assisted lattice anchoring of iridium in Co3O4 for efficient oxygen evolution reaction in low-iridium water electrolysis
Machine learning climbs the Jacob’s Ladder of optoelectronic properties
Abstract The use of machine learning (ML) as a powerful tool for the prediction of optoelectronic properties is still hampered by the inadequate level of the calculated training datasets, which are almost exclusively obtained within the independent-particle approximation (IPA). Drawing on Perdew’s Jacob’s ladder analogy in density functional theory, we demonstrate how ML can ascend from the IPA to the random phase approximation (RPA), figuratively climbing the second rung. We show that as few as 300 RPA calculations suffice to fine-tune a graph attention network initially trained on 10,000 IPA calculations. Its prediction accuracy approaches that of a network directly trained on our large database of around 6000 RPA spectra. Our results highlight how transfer learning even with a small amount of high-fidelity data significantly improves predicted optical properties. Moreover, by retraining on RPA data from materials with smaller unit cells, the model generalizes effectively to larger unit cells, demonstrating broad scalability.
Van der Waals β-Ga2O3 thin films on polycrystalline diamond substrates
Abstract The self-heating effect in wide bandgap semiconductor devices makes epitaxial Ga2O3 on diamond substrates crucial for thermal management. However, the lack of wafer-scale single-crystal diamond and severe lattice mismatch limit its industrial application. This study presents van der Waals β-Ga2O3 (VdW-β-Ga2O3) grown on high-thermal-conductivity polycrystalline diamond. VdW forces modify the coupling state between the single-crystal thin film and polycrystalline substrate. Tunable growth of ( $$\bar{2}01$$ 2 ¯ 01 ) VdW-β-Ga2O3 is achieved by leveraging the mismatch between graphene and the oxygen surface densities of varying crystal orientations and their oxygen-partial-pressure dependence. The 350 nm thick, high-crystallinity films exhibit a smallest rocking curve FWHM value of 0.18° and a root mean square roughness of 6.71 nm. Graphene alleviated interfacial thermal expansion stress; β-Ga2O3/diamond interface exhibits an ultralow thermal boundary resistance of 2.82 m2·K/GW. Photodetectors exhibit a photo-to-dark current ratio of 106 and a responsivity of 210 A/W, confirming the strategy’s practicality and technological significance.
Non-invasive action potential recordings using printed electrolyte-gated polymer field-effect transistors
A Universal Solid Reaction Enabling Nanosized Li <sub>2</sub> S in an Amorphous Matrix for All-Solid-State Li–S Batteries
Evaluation and Comparison of Handedness and Maximum Bite Force in Right and Left Sides of Jaw: An In Vivo Study
Comparative Evaluation of Stress at Bone–Implant Interface in All-on-4 and Trefoil Concept: An In Vitro Study
Prevalence of Tobacco-associated Oral Mucosal Lesions in Tobacco Users Visiting the Dental College: A Cross-sectional Study
New Horizons in Maxillofacial Surgery
Wisdom Tooth – A Dilemma Manifold: Case Series
To Assess the Knowledge, Attribution, and Perception for Disinfection of Prosthesis Sent Back from the Lab among the Dental Practitioners in Lucknow: A Survey-based Study
Quantitative Insights into Collagen in Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma using Picrosirius Red Stain
To Assess the Vital Signs of Patients before and after Implant Surgery
Artificial Intelligence as an Adjunct to Nurses in Pediatrics and Pediatric Dentistry
Interventional Surgery and Myofunctional Therapy of a Case of Ankyloglossia in an Adolescent with Speech Impairment: A Case Report and Literature Review
To Study the Influence of Digital Dentistry on the Accuracy of Implant Positioning and Prosthesis Creation
Physiological, biochemical and enzymatic quality parameters of primed seed of rapeseed-mustard genotypes
Integrated GIS-AHP based assessment of earthquake vulnerability and risk for urban residential buildings in Muscat, Sultanate of Oman
Abstract This study presents a cutting-edge framework for assessing earthquake vulnerability and risk in residential areas of Al-Seeb, Muscat Governorate (Sultanate of Oman). Drawing upon a rich dataset encompassing seismic, geotechnical, structural, environmental, and socioeconomic parameters, thematic vulnerability maps were developed using a GIS-based analytic hierarchy process (GIS-AHP). These were systematically integrated to produce comprehensive risk matrices. It has been noted that the Rusayl industrial estate emerged as a critical hotspot due to the clustering of industrial facilities and fuel stations near densely populated zones, amplifying hazard proximity. Physical vulnerability patterns largely mirrored geotechnical characteristics but were further shaped by urban density and infrastructure quality. A risk index was derived for each grid cell, enabling the formulation of a detailed microzonation map that categorizes Al-Seeb into five distinct risk zones. Central urban areas like Al-Hail North and segments of Old Al-Khoud plunged within the highest vulnerability category, while parts of Al-Mawaleh North exhibited a blend of high and very high risk, primarily due to aging infrastructure and insufficient retrofitting. Interestingly, Al-Maabilah showed signs of structural resilience, with 60% of buildings experiencing minor damage and only 20% sustaining major impacts. The robust database generated offers critical insights for policymakers, planners, and stakeholders, serving as a strategic tool for informed decision-making. The study’s outcomes align well with Oman Vision 2040 and contribute directly to the goals of sustainable and disaster-resilient urban development outlined in the United Nation’s Sustainable Development Goal (UN-SDG) 11. By embedding these insights into national urban planning and construction policies, the study supports risk-informed development and financial risk reduction for any futuristic projects in the Sultanate of Oman. In response to the shortcomings and delays of previous research, the present study is the first of its kind in the Arabian region, significantly contributing to the establishment of a sustainable and resilient Omani society.