Results 211 to 220 of about 1,603,656 (292)

Machine Learning‐Guided Design of Cu–Ni–Sn Alloys With Tailored Ni3Sn/Ni3Sn2 Precipitates

Materials Genome Engineering Advances, EarlyView.
To address the trade‐off between strength and conductivity in Cu–Ni–Sn alloys, this study proposes a new closed‐loop design strategy that integrates machine learning, thermodynamic calculations, and experimental verification from the perspective of “phase selectivity”, providing a new approach for multiphase control and synergistic improvement of multi‐
Fei Tan, Wei Chen, Jingpeng Yu, Jiaqi Lan, Zixuan Zhao, Yanbin Jiang, Zhu Xiao, Wenqin Xu, Meng Wang, Guofu Xu, Zhou Li   +10 more
wiley   +1 more source

Metallurgical Preparation of Nb-Al and W-Al Intermetallic Compounds and Characterization of Their Microstructure and Phase Transformations by DTA Technique. [PDF]

Molecules, 2020
Cegan T, Petlak D, Skotnicova K, Jurica J, Smetana B, Zla S.   +5 more
europepmc   +1 more source

Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods

Materials Genome Engineering Advances, EarlyView.
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang, Biao Chen, Ruihao Yuan, Yi Williams Wang, Jun Wang, Jinshan Li   +5 more
wiley   +1 more source

Selective Hydrothermal Leaching of Aluminum from Al₃YRh _<i>x</i> (<i>x</i> = 0, 0.2, 0.5, 1.0) Intermetallic Compounds: The Effect of Rh Variants in Comparing the Catalytic CO Oxidation and CO-PROX Reactions. [PDF]

ACS Mater Au
Sriram B, Wang SF, Kameoka S.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

The Effect of Alloying Elements and Impurities on the Composition and Formation of Intermetallic Particles in Titanium and Titanium Alloys

Surface and Interface Analysis, EarlyView.
ABSTRACT The corrosion resistance of alpha and near‐alpha titanium alloys has resulted in their widespread application in extreme environments. Their corrosion behavior is often influenced by their microstructure, particularly intermetallic particles (IMPs), and even slight compositional variations can produce significant differences in microstructure ...
Adam M. Morgan, Jeffrey D. Henderson, Sridhar Ramamurthy, James J. Noël   +3 more
wiley   +1 more source

Semiconducting intermetallic compounds

Advances in Physics, 1956
L. Pincherle, J.M. Radcliffe
openaire   +2 more sources

Effect of Metal–Metal Distance on the Performance of Dual‐Atom Catalysts for the Oxygen Reduction Reaction: A Density Functional Theory and Micro‐kinetics Study

Small, EarlyView.
Density functional theory calculations and microkinetic modeling were carried out on 108 dual‐atom catalysts with varied metalmetal distances ranging from 2.2 to 3.5 Å. The results reveal that moderate spacing of around 3.0 Å promotes bridging oxygen adsorption and dissociative reduction pathways, weakens the hydroxylhydroperoxyl scaling relationship ...
Yu Mao, Yongfang Zhou, Mengjiao Li, Ziyun Wang, Run Shi, Lu Shang, Tierui Zhang, Geoffrey I. N. Waterhouse   +7 more
wiley   +1 more source

Sodium‐Based Battery Component Design: Imitating Lithium or Forging New Paths?

Small, EarlyView.
This Perspective elucidates the decisive yet underexplored impact of cation chemistry, Na+ vs. Li+ charge carriers, on the design, selection, and formulation of their corresponding battery systems, addressing common misconceptions and the pitfalls of overreliance on Li+ design principles. Leveraging the unique characteristics of Na+, it comprehensively
Xingxing Wang, Ziyu Song, Wenfang Feng, Moritz Schütte, Sascha Berg, Feng Cai, Viviane Maccio‐Figgemeier, Dirk Uwe Sauer, Stefano Passerini, Michel Armand, Zhibin Zhou, Egbert Figgemeier, Heng Zhang, Gebrekidan Gebresilassie Eshetu   +13 more
wiley   +1 more source

Oxidation‐Induced Internal Chemical Patterning in Copper–Gold Nanoalloys

Small, EarlyView.
Surface oxidation suppresses Au surface segregation and redirects Au transport to twin boundaries, replacing conventional core–shell formation with internal chemical patterning. Driven by Cu–Au mixing thermodynamics, defect‐mediated uphill diffusion creates alternating Au‐rich and Cu‐rich lamellae, revealing oxidation as a chemical pump for bulk ...
Zhikang Zhou, Hanlei Zhang, Dongxiang Wu, Jianyu Wang, Xiaobo Chen, Chaoran Li, Shan Yan, Jing Li, Adrian Hunt, Iradwikanari Waluyo, Chuanjian Zhong, Guangwen Zhou   +11 more
wiley   +1 more source