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Main Authors: Tang, Haoxuan, Chen, Zhiyuan, Yao, Xin, Xu, Zhiping
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2503.13734
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author Tang, Haoxuan
Chen, Zhiyuan
Yao, Xin
Xu, Zhiping
author_facet Tang, Haoxuan
Chen, Zhiyuan
Yao, Xin
Xu, Zhiping
contents Low-temperature alloys are important for a wide spectrum of modern technologies ranging from liquid hydrogen, and superconductivity to quantum technology. These applications push the limit of material performance into extreme coldness, often demanding a combination of strength and toughness to address various challenges. Steel is one of the most widely used materials in cryogenic applications. With the deployment in aerospace liquid hydrogen storage and the transportation industry, aluminum and titanium alloys are also gaining increasing attention. Emerging medium-entropy alloys (MEAs) and high-entropy alloys (HEAs) demonstrate excellent low-temperature mechanical performance with a much-expanded space of material design. A database of low-temperature metallic alloys is collected from the literature and hosted in an open repository. The workflow of data collection includes automated extraction based on machine learning and natural language processing, supplemented by manual inspection and correction, to enhance data extraction efficiency and database quality. The product datasets cover key performance parameters including yield strength, tensile strength, elongation at fracture, Charpy impact energy, as well as detailed information on materials such as their types, chemical compositions, processing and testing conditions. Data statistics are analyzed to elucidate the research and development patterns and clarify the challenges in both scientific exploration and engineering deployment.
format Preprint
id arxiv_https___arxiv_org_abs_2503_13734
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Mechanical Performance Database for Low-Temperature Alloys
Tang, Haoxuan
Chen, Zhiyuan
Yao, Xin
Xu, Zhiping
Materials Science
Low-temperature alloys are important for a wide spectrum of modern technologies ranging from liquid hydrogen, and superconductivity to quantum technology. These applications push the limit of material performance into extreme coldness, often demanding a combination of strength and toughness to address various challenges. Steel is one of the most widely used materials in cryogenic applications. With the deployment in aerospace liquid hydrogen storage and the transportation industry, aluminum and titanium alloys are also gaining increasing attention. Emerging medium-entropy alloys (MEAs) and high-entropy alloys (HEAs) demonstrate excellent low-temperature mechanical performance with a much-expanded space of material design. A database of low-temperature metallic alloys is collected from the literature and hosted in an open repository. The workflow of data collection includes automated extraction based on machine learning and natural language processing, supplemented by manual inspection and correction, to enhance data extraction efficiency and database quality. The product datasets cover key performance parameters including yield strength, tensile strength, elongation at fracture, Charpy impact energy, as well as detailed information on materials such as their types, chemical compositions, processing and testing conditions. Data statistics are analyzed to elucidate the research and development patterns and clarify the challenges in both scientific exploration and engineering deployment.
title Mechanical Performance Database for Low-Temperature Alloys
topic Materials Science
url https://arxiv.org/abs/2503.13734