Results 101 to 110 of about 4,999,037 (358)
Advanced Engineering Materials, Volume 27, Issue 14, July 2025.A novel approach for alloy development in laser powder bed fusion is introduced. Instead of producing massive samples of one composition at a time, prepressed powder bed samples produced from powder mixtures are processed. Guidelines for the selection of precursor powders are developed.
Felix Großwendt +6 more
wiley +1 more source
Improvements in the practical methods of assessment of losses caused by insects in grain stored at the village level in tropical Africa [PDF]
, 1990 The application of variants of the Thousand Grain Mass method and of the Count and Weigh method for assessing weight losses caused by insects during the storage of 1aize, paddy rice and sorghum grain in villages of Côte d'Ivoire and Central African ...
Fleurat-Lessard, Francis +1 more
core
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
Advanced Engineering Materials, Volume 27, Issue 14, July 2025.The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker +5 more
wiley +1 more source
Specific weight of barley grains is determined by traits affecting packing efficiency and by grain density [PDF]
Journal of the Science of Food and Agriculture, 2019 AbstractBACKGROUNDSpecific weight influences the market value of barley grain, and in malting barley a high specific weight is thought to result in an increased malt output. However, links between specific weight and malt output have not yet been established.
Aaron Hoyle +3 more
openaire +4 more sources
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Selection for high spike fertility index increases genetic progress in grain yield and stability in bread wheat [PDF]
, 2018 Spike fertility index (SF) has been proposed as a promising trait to be used as a selection criterion in wheat breeding programs aimed at increasing grain yield, but no actual evidence of its successful application has been reported.
Alonso, María Pía +4 more
core +1 more source
Theoretical and Applied Genetics, 2019 The quantitative trait loci (QTLs) for grain morphological traits were identified via nested association mapping and validated in a natural wheat population via haplotype analysis.
Xiaoqian Wang +10 more
semanticscholar +1 more source
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Advanced Engineering Materials, EarlyView.Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang +8 more
wiley +1 more source
Agronomy, 2020 In the current study, we used a linkage mapping–Genome-Wide Association Study (GWAS) joint strategy to investigate quantitative trait loci (QTLs) governing rice grain shape and weight in a doubled haploid (DH) population, using Kompetitive Allele ...
Ju-Won Kang +10 more
doaj +1 more source
Effect of soil applied zinc sulphate on wheat (Triticum aestivum L.) grown on a calcareous soil in Pakistan [PDF]
, 2008 A field experiment was conducted to investigate the effect of soil application of zinc fertilizer on yield and yield components of wheat (Triticum aestivum L. cv. Inqlab 91) grown on calcareous soil in Pakistan.
Baloch, FS, Fuller, MP, Khan, MA
core +1 more source