Z. Li , Z.R. Zeng , R. Tan , M.L. Taheri , N. Birbilis
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A database of mechanical properties for multi principal element alloys
Multi-principal element alloys (MPEAs) have emerged as a promising class of materials due to their exceptional mechanical properties. In this paper, we present a comprehensive database of mechanical properties for MPEAs – based upon reported works to date. The database encompasses a range of properties, including yield strength, ultimate tensile strength and elongation (from tensile testing); and compressive strength and plasticity (from compression testing). The database incorporates a consolidation of valuable information, including alloy composition, hardness, phases present, processing, and heat treatment conditions. The inclusion of such information allows researchers to correlate mechanical properties with alloy composition and processing parameters, aiding in the digital design of MPEAs with tailored mechanical performance.
期刊介绍：
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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