Melt growth of β-Ga2O3 has been demonstrated by a variety of techniques primarily utilizing iridium crucibles, or no crucible at all in the case of floating zone. Impurities are ubiquitous in these crystals originati...
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Grain boundary structural transitions can lead to significant changes in the properties and performance of materials. In multi-principal element alloys, understanding these transitions becomes complex due to phenomena...
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Absorption rates for traditional adsorbents were predominately determined by the concentration gradient from bulk to absorbents and surface area. A novel sandwich-structured capacitor (SSC) containing adsorbents is de...
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The duality between electric and magnetic dipoles in electromagnetism only partly applies to condensed matter. In particular, the elementary excitations of the magnetic and ferroelectric orders, namely magnons and fer...
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The duality between electric and magnetic dipoles in electromagnetism only partly applies to condensed matter. In particular, the elementary excitations of the magnetic and ferroelectric orders, namely magnons and ferrons, respectively, have received asymmetric attention from the condensed matter community in the past. In this Perspective, we introduce and summarize the current state of the budding field of “ferronics.” We argue that the introduction of dipole-carrying elementary excitations allows the modeling of many observables and potentially leads to applications in thermal, information, and communication technologies.
We use numerical simulations and analytical techniques to assess the role of local thickness nonuniformity and curvature in the Twyman effect. A flat optic of similar thickness is used as a convenient metric for compa...
Background: LZ91 Magnesium alloy with a dual-phase structure has improved mechanical properties and a low density of about 1.48 g/cm3 but their limited resistance to corrosion limits their application. Therefore, it i...
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Understanding the role of household carbon footprints in a country’s emissions has been a crucial yet neglected area in climate change research. In this study, we provide estimates of Indian household carbon footprin...
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Understanding the role of household carbon footprints in a country’s emissions has been a crucial yet neglected area in climate change research. In this study, we provide estimates of Indian household carbon footprints (HCFs) for income quintiles belonging to rural and urban regions, while our aim is to understand the drivers of the patterns (between and within region) and trends (over time) in the same. For this, the constant price Environmentally extended Input-Output (EE-IO) data for the years 2003-04, 2007-08, 2013-14, and 2015-16 of the Indian economy, which is augmented with micro-economic data based on national household surveys, is subjected to Input-Output analysis (IOA) and Structural Decomposition Analysis (SDA). Also, annual Environmental Engel Curves (EECs) describing expenditure-emissions relationships are plotted separately for rural and urban households for the end years. It allowed the decomposing of differences in mean rural and urban HCFs across regions and time using the regression-based Oaxaca-Blinder Decomposition (OBD) approach. For 2015-16, we find the households of the richest rural quintile emitting five times more than the lowest quintile, while for the urban counterparts, the disparity is more than seven times. Over time, HCFs increased mainly due to increasing per capita expenditures and population despite being offset by emission intensity changes. The role of different consumption categories is highlighted. Also, we observe a decline in emissions intensities with affluence increase across the cross-section of households from both the areas and time periods. While the household income was found to explain most of the differences in mean emissions between regions and across time, the lifestyle changes suggest comparatively climate unfriendly behaviour of households over time and in rural regions when we control for affluence differences. Suggestions toward carbon mitigation through sustainable consumption and the fairness implications of
Chemical additives to perovskite precursors constitute a predominant route to passivate defects in perovskite films and improve carrier charge dynamics. In this work, ionic liquids (ILs) with chloride and iodide anion...
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The industry developed rapidly since the Industrial Revolution in the 18th century. The side effect of industrial development was a large amount of non-hazardous waste and hazardous waste. All of this waste must be ma...
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This research proposes a methodology for identifying the optimal feature combination using Support Vector Machine (SVM) based on edge and texture features. Canny, Sobel, and Prewitt for edge detection and GLCM, Gabor,...
This research proposes a methodology for identifying the optimal feature combination using Support Vector Machine (SVM) based on edge and texture features. Canny, Sobel, and Prewitt for edge detection and GLCM, Gabor, and LBP for texture analysis are popular feature extraction techniques widely employed in various cases. The approach combines edge and texture features with SVM to classify rice types into five categories: Ipsala, Jasmine, Karacadag, Arborio, and Basmati. Experimental results demonstrate that SVM using Canny, Sobel, and Prewitt combined Gabor texture features outperforms the comparative methods. A comparative analysis based on accuracy scores using confusion matrices is conducted. Combining all feature edge methods, Canny, Sobel, and Prewitt with Gabor on SVM classification is the best model for rice object classification, achieving an accuracy of 96%.
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