Demands for ultrahigh strength in structural materials have been steadily increasing in response to environmental issues. Maraging alloys offer a high tensile strength and fracture toughness through a reduction of lattice defects and formation of intermetallic precipitates. The semi-coherent precipitates are crucial for exhibiting ultrahigh strength; however, they still result in limited work hardening and uniform ductility. Here, we demonstrate a strategy involving deformable semi-coherent precipitates and their dynamic phase transformation based on a narrow stability gap between two kinds of ordered phases. In a model medium-entropy alloy, the matrix precipitate acts as a dislocation barrier and also dislocation glide media; the grain-boundary precipitate further contributes to a significant work-hardening via dynamic precipitate transformation into the type of matrix precipitate. This combination results in a twofold enhancement of strength and uniform ductility, thus suggesting a promising alloy design concept for enhanced mechanical properties in developing various ultrastrong metallic materials.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832006 | PMC |
http://dx.doi.org/10.1038/s41467-023-35863-z | DOI Listing |
Sci Rep
December 2024
School of Ecology, Hainan University, Haikou, 570228, China.
Climate change and human activities are the primary drivers influencing changes in runoff dynamics. However, current understanding of future hydrological processes under scenarios of gradual climate change and escalating human activities remains uncertain, particularly in tropical regions affected by deforestation. Based on this, we employed the SWAT model coupled with the near future (2021-2040) and middle future (2041-2060) global climate models (GCMs) under four shared socioeconomic pathways (SSP1-2.
View Article and Find Full Text PDFPLoS One
December 2024
School of Economics and Management, Quanzhou University of Information Engineering, Quanzhou, Fujian, China.
Informed trading, driven by information asymmetry and market imperfections, varies in presence across markets. This form of trading not only distorts market transaction prices and hinders resource allocation but also initiates adverse selection transactions, increasing liquidity risks and potentially precipitating market crashes, thereby impeding the market's healthy development. Utilizing information asymmetry theory and principal-agent theory, this paper analyzes data from A-share listed companies from 2011 to 2022.
View Article and Find Full Text PDFLangmuir
December 2024
School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, P. R. China.
The dispersion of cellulose nanocrystals (CNCs) in suspensions determines the quality of the CNC-reinforced composites. Before being mixed into the composite matrix, stable suspensions must maintain a well-dispersed state, requiring proper design strategies to prevent agglomeration and precipitation. Considering the volume fraction, aspect ratio, and zeta potential, this paper proposes a coarse-grained model to simulate CNC clustering and an experimental program to observe accelerated precipitation of CNCs.
View Article and Find Full Text PDFJ Funct Biomater
December 2024
Division of Immunology and Microbiology, Iv. Javakhishvili Tbilisi State University, 1, Ilia Tchavchavadze Ave., 0179 Tbilisi, Georgia.
The rapid progress in nanotechnology has introduced multifunctional iron oxide nanoparticles as promising agents in cancer treatment. This research focused on the synthesis and assessment of citric-acid-coated, folic-acid-conjugated nanoparticles loaded with doxorubicin, evaluating their therapeutic potential in tumor models. An advanced automated continuous technology line (CTL) utilizing a controlled co-precipitation method was employed to produce highly dispersive, multifunctional nanofluids with a narrow size distribution.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
School of Resources and Environmental Engineering, Ludong University, Yantai 264025, Shandong, China.
Accurately capturing the spatiotemporal dynamics of regional forest cover and its response to climate change is of great significance for forest resource management and ecological environment protection. We used statistical methods such us linear regression and correlation analysis, as well as remote sensing change monitoring to investigate the spatiotemporal dynamics of forest cover and its response to climate change from 2000 to 2022 in Shandong Province based on MODIS VCF products and meteorological data. The results showed that the forest co-verage and forest area in Shandong Province increased from 43.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!