Results 81 to 90 of about 5,538 (264)

Interphase electron redistribution induced by confined transformation in PtPdBiSn nanoplates for efficient ethanol oxidation electrocatalysis

Nature Communications
Noble metal-based core/shell catalysts show great promise for ethanol oxidation reaction (EOR) through regulated dehydrogenation or bond-breaking, yet their performance remains constrained by limited interphase electron interactions accessible through ...
Mingjie Shao, Aimin Wang, Huameng Fu, Haifeng Zhang, Xiaoqing Huang, Zhengwang Zhu   +5 more
doaj   +1 more source

**Mastering Metallurgy: The Ultimate Guide to Materials Science and Metal Innovation**

Very Detailed Description This comprehensive guide dives deep into the multifaceted world of **Metallurgy**, providing readers with an all-encompassing resource to master the science and engineering of metals from the ground up. Whether you're a student new to the field or a professional metallurgist aiming to refine your expertise, this guide covers ...
openaire   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Advances in Understanding of Unit Operations in Non-Ferrous Extractive Metallurgy in 2023

Metals
Metallic materials play a vital role in the economic life of modern societies; hence, research contributions are sought on fresh developments that enhance our understanding of the fundamental aspects of the relationships between processing, properties ...
Srecko Stopic, Bernd Friedrich
doaj   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

A critical review of magnesium-based scaffolds for bone tissue engineering: Properties, production methods, surface treatments, and multiscale evaluation techniques

Smart Materials in Manufacturing
Magnesium-based scaffolds have emerged as promising candidates for bone tissue engineering due to their biodegradability, mechanical compatibility, and osteoconductive property. However, their clinical translation hinges on addressing critical challenges
Dongfang Chen, Jie Xin, Ming Yin, Man Xu, Jiahao Chen, Qiangsheng Dong, Yi Shao, Cheng Wang, Chenglin Chu, Feng Xue, Youwen Yang, Ryan Giordmaina, Joseph Buhagiar, Jing Bai   +13 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Effect of Niobium-Containing Metallic Powders on Microstructural Evolution, Mechanical Performance, and Corrosion Resistance: A Critical Review and Research Perspective

Powders
Metallic powder systems containing niobium play a key role in the development of advanced materials for structural, biomedical, energy, and surface-engineering applications.
Ricardo Luiz Perez Teixeira
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Investigation on the temperature-dependent diffusion growth of intermetallic compounds in the Mg-Al-Zn system: Experiment and modeling

Journal of Magnesium and Alloys
With the rapid development of Mg alloys, deeper understanding to the thermodynamic and diffusional kinetic behavior of intermetallic compounds (IMCs) is important for studying the effect of alloying elements to the microstructure evolution.
Kaiming Cheng, Yan Zheng, Jiaxing Sun, Yafei Zhao, Jin Wang, Huan Yu, Dongqing Zhao, Hang Li, Jixue Zhou, Zhenyu Ma, Junmin Wang, Cuiping Guo, Xitao Wang, Lijun Zhang, Yong Du   +14 more
doaj   +1 more source