Cited by Active learning-enabled the discovery of ultra-high saturation magnetization soft magnetic alloys

Multifunctional high-entropy materials DOI

Liuliu Han,

Shuya Zhu,

Ziyuan Rao

et al.

Nature Reviews Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Language: Английский

Citations

Effect of Fabrication Techniques of High Entropy Alloys: A Review with Integration of Machine Learning DOI

Mohamed Yasin Abdul Salam,

Enoch Nifise Ogunmuyiwa,

Victor Kitso Manisa

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104441 - 104441

Published: Feb. 1, 2025

Language: Английский

Citations

Machine learning strategies for small sample size in materials science DOI

Qiuling Tao,

Jinxin Yu,

Xiangyu Mu

et al.

Science China Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

Controllable preparation of metal-based lubrication coatings in extreme environmental applications DOI

Shuai Wu,

Yuening Tang,

Jie Gu

et al.

Materials & Design, Journal Year: 2024, Volume and Issue: 241, P. 112922 - 112922

Published: April 13, 2024

Rapid advances in modern industrial tribo-systems under high temperatures and heavy loads generate a growing demand for lubricating materials used extreme environmental conditions. Metal-based lubricant coatings with excellent mechanical properties thermal stability are widely on core parts to reduce friction harsh environments. This paper reviews the progress modulating frictional of by designing components preparation techniques prolong lifetime metal-based lubrication coatings. The impacts microstructural changes performances, including hardness, plasticity, interfacial adhesion, stability, were essential deformation crack propagation Their performances mechanisms concerned loads, wide range temperatures, corrosive marine Finally, study concluded basic requirements environments at this stage. research challenges potential problems long-life applications emphasized. In future, more breakthroughs needed areas super-lubrication service order expand their

Language: Английский

Citations

Prediction of concrete chloride ion profile in complex salt environment: Optimization of integrated algorithm based on MSCPO and interpretability analysis DOI

Daming Luo,

Kanglei Du,

Ditao Niu

et al.

Materials & Design, Journal Year: 2025, Volume and Issue: unknown, P. 113682 - 113682

Published: Feb. 1, 2025

Language: Английский

Citations

Cuckoo search-artificial neural network aided the composition design in Al–Cr–Co–Fe–Ni high entropy alloys DOI

Ling Qiao, Jingchuan Zhu

Applied Surface Science, Journal Year: 2024, Volume and Issue: 669, P. 160539 - 160539

Published: June 19, 2024

Language: Английский

Citations

Effect of Cr on the microstructure and corrosion behavior of nickel-based alloys in hydrochloric acid DOI

Dianhui Hou,

Hong Luo, Zhimin Pan

et al.

Journal of Materials Research and Technology, Journal Year: 2024, Volume and Issue: 32, P. 2867 - 2881

Published: Aug. 19, 2024

Nickel-base alloy is a type of metal material with excellent properties and widely used in many fields. However, the harsh environment acid solution, corrosion causes reduction service life alloys, thereby limiting alloys' use development. In this paper, effect Chromium (Cr) content on microstructure behavior nickel-based alloys hydrochloric (HCl) was studied by scanning electron microscopy (SEM), energy dispersive spectrum (EDS), backscatter diffraction (EBSD) electrochemical workstation. Meanwhile, X-ray photoelectron spectroscopy (XPS) to investigate composition surface passive films. For Cr20 Cr30 single face-centered cubic (FCC) structure, Cr2O3 films increased Cr content, effectively improving resistance. As continued increase, second phases having body-centered (BCC) lattice were precipitated both Cr40 Cr50 samples, inducing microgalvanic corrosion, thus deteriorating XPS results showed that, alloy, relative bound water highest, indicating that its film had best film, pitting resistance related appropriate improved

Language: Английский

Citations

Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review DOI

Ivan Malashin,

D. A. Martysyuk,

В С Тынченко

et al.

Polymers, Journal Year: 2024, Volume and Issue: 16(23), P. 3368 - 3368

Published: Nov. 29, 2024

The integration of machine learning (ML) into material manufacturing has driven advancements in optimizing biopolymer production processes. ML techniques, applied across various stages production, enable the analysis complex data generated throughout identifying patterns and insights not easily observed through traditional methods. As sustainable alternatives to petrochemical-based plastics, biopolymers present unique challenges due their reliance on variable bio-based feedstocks processing conditions. This review systematically summarizes current applications techniques aiming provide a comprehensive reference for future research while highlighting potential enhance efficiency, reduce costs, improve product quality. also shows role algorithms, including supervised, unsupervised, deep

Language: Английский

Citations

Exploring High Entropy Alloys: A Review on Thermodynamic Design and Computational Modeling Strategies for Advanced Materials Applications DOI

Peter Odetola, Bukola Joseph Babalola, Ayodeji Ebenezer Afolabi

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e39660 - e39660

Published: Oct. 30, 2024

Language: Английский

Citations

Recent machine learning-driven investigations into high entropy alloys: a comprehensive review DOI

Yonggang Yan, Xunxiang Hu,

Yalin Liao

et al.

Journal of Alloys and Compounds, Journal Year: 2024, Volume and Issue: unknown, P. 177823 - 177823

Published: Nov. 1, 2024

Language: Английский

Citations