Results 91 to 100 of about 5,233 (267)

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

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

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Portable Nuclear Magnetic Resonance Spectrometer with Birdcage Coil for Non-destructive Testing and Analysis of Metallic Materials

e-Journal of Nondestructive Testing
Non-destructive testing (NDT) using nuclear magnetic resonance (NMR) spectroscopy for metallic materials is a cutting-edge technique that offers valuable insights into the structure, composition, and properties of metals without altering or damaging the
Mostafa Noohi, Hassan Faraji Baghtash, Habib Badri Ghavifekr   +2 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

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

Dual‐Substrate Synergistic Photocatalysis: Exogenous Reagent‐Free Co‐Removal of Phenol and Cr(VI) via Electron‐Donor‐Mediated Redox Coupling over Modified Carbon Nitride

Advanced Science, EarlyView.
An exogenous reagent‐free dual‐substrate strategy harnesses phenol as an intrinsic electron donor to drive synchronous phenol degradation and Cr(VI) reduction over modified carbon nitride. π–π stacking and hydrogen bonding direct electron transfer to the catalyst, enriching photogenerated electrons and accelerating Cr(VI) reduction 6.4‐fold. This waste‐
Xiaoman Zhang, Qiyu Wang, Xiaodan Liu, Shuqi Wan, Cuiwei Du, Qilu Li, Chongfei Yu, Shuying Dong, Xianfa Su, Chun Hu   +9 more
wiley   +1 more source

Impurity Tolerance in LiFePO4 Cathodes: Contrasting Structural, Electronic, and Electrochemical Roles of Residual Ni and Cr

Advanced Science, EarlyView.
Impurity tolerance in LiFePO4 cathodes varies strongly with impurity type and content. Low Ni levels are accommodated within the lattice with minimal structural disruption, whereas higher Ni contents introduce antisite disorder. In contrast, Cr impurities segregate from the LiFePO4 framework, blocking lithium‐ion pathways and leading to inferior ...
Minjin Kim, Hyerin Jeon, Jinhee Lee, Jinsub Choi   +3 more
wiley   +1 more source

Aluminum Foams with Closed Pores Obtained by Casting Techniques

The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, 2012
Techniques for the preparation of metallic foams, including casting, powder metallurgy and metallic deposition, have been reviewed. There is a present interest in the development of materials capable of plastic deforming to absorb the effects of shock ...
Virgil GEAMĂN, Mihai Alin PO, Vasile JIMAN   +2 more
doaj  

Women in STEM in the Eastern Partnership: EU-Driven Initiatives and Challenges of External Europeanisation

Societies
This article explores the role of the European Union (EU) as a normative gender actor promoting women’s participation in STEM (Science, Technology, Engineering, and Mathematics) within the Eastern Partnership (EaP) region.
Gabriela-Roxana Irod, Cristian Pîrvulescu, Marian Miculescu   +2 more
doaj   +1 more source