Yanhui Zhang , Lisheng Dong , Li-Min Wang , Ri-Ping Liu , Stefano Sanvito
{"title":"量化多元素合金的(元)稳定性:从构型熵到特征温度","authors":"Yanhui Zhang , Lisheng Dong , Li-Min Wang , Ri-Ping Liu , Stefano Sanvito","doi":"10.1016/j.actamat.2024.120415","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding and hence predicting the stability and metastability of multi-principal-element alloys (MPEAs) is crucial for their design and applications, but it remains a complex and time-consuming task. Descriptors based on the configurational entropy alone are often insufficient in determining the relative stability of MPEA solid solutions, since they predict, against experimental evidence, that alloys containing a large number of elements will be eventually stable. Here we introduce two characteristic temperatures, derived from the temperature dependence of the configurational entropy, which effectively act as (meta-)stability indicators. These can be further combined in a dimensionless quantity, <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>d0</mi></mrow></msub></math></span>, which enables us to rank alloys according to their compositional and structural (meta-)stability across a broad composition range. In particular, we are able to map equiatomic and non-equiatomic alloys, and even regions covered by conventional alloys. Our proposed descriptors are validated against a large body of experimental results and compared to other (meta-)stability descriptors. Furthermore, they allow us to revise the alloys classification scheme into high-entropy, medium-entropy and low-entropy. Our work sheds new light into the thermodynamic origin of alloying metastability, it provides a potential tool to correlate metastability thermodynamics and kinetics, and ultimately may help in alloys design and discovery.</div></div>","PeriodicalId":8,"journal":{"name":"ACS Biomaterials Science & Engineering","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards quantifying (meta-)stability of multi-principal element alloys: From configurational entropy to characteristic temperatures\",\"authors\":\"Yanhui Zhang , Lisheng Dong , Li-Min Wang , Ri-Ping Liu , Stefano Sanvito\",\"doi\":\"10.1016/j.actamat.2024.120415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Understanding and hence predicting the stability and metastability of multi-principal-element alloys (MPEAs) is crucial for their design and applications, but it remains a complex and time-consuming task. Descriptors based on the configurational entropy alone are often insufficient in determining the relative stability of MPEA solid solutions, since they predict, against experimental evidence, that alloys containing a large number of elements will be eventually stable. Here we introduce two characteristic temperatures, derived from the temperature dependence of the configurational entropy, which effectively act as (meta-)stability indicators. These can be further combined in a dimensionless quantity, <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>d0</mi></mrow></msub></math></span>, which enables us to rank alloys according to their compositional and structural (meta-)stability across a broad composition range. In particular, we are able to map equiatomic and non-equiatomic alloys, and even regions covered by conventional alloys. Our proposed descriptors are validated against a large body of experimental results and compared to other (meta-)stability descriptors. Furthermore, they allow us to revise the alloys classification scheme into high-entropy, medium-entropy and low-entropy. Our work sheds new light into the thermodynamic origin of alloying metastability, it provides a potential tool to correlate metastability thermodynamics and kinetics, and ultimately may help in alloys design and discovery.</div></div>\",\"PeriodicalId\":8,\"journal\":{\"name\":\"ACS Biomaterials Science & Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Biomaterials Science & Engineering\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1359645424007651\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Biomaterials Science & Engineering","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359645424007651","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Towards quantifying (meta-)stability of multi-principal element alloys: From configurational entropy to characteristic temperatures
Understanding and hence predicting the stability and metastability of multi-principal-element alloys (MPEAs) is crucial for their design and applications, but it remains a complex and time-consuming task. Descriptors based on the configurational entropy alone are often insufficient in determining the relative stability of MPEA solid solutions, since they predict, against experimental evidence, that alloys containing a large number of elements will be eventually stable. Here we introduce two characteristic temperatures, derived from the temperature dependence of the configurational entropy, which effectively act as (meta-)stability indicators. These can be further combined in a dimensionless quantity, , which enables us to rank alloys according to their compositional and structural (meta-)stability across a broad composition range. In particular, we are able to map equiatomic and non-equiatomic alloys, and even regions covered by conventional alloys. Our proposed descriptors are validated against a large body of experimental results and compared to other (meta-)stability descriptors. Furthermore, they allow us to revise the alloys classification scheme into high-entropy, medium-entropy and low-entropy. Our work sheds new light into the thermodynamic origin of alloying metastability, it provides a potential tool to correlate metastability thermodynamics and kinetics, and ultimately may help in alloys design and discovery.
期刊介绍:
ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics:
Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology
Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions
Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis
Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering
Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends
Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring
Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration
Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials
Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture