Results 61 to 70 of about 5,237 (261)

Fabrication of Copper-Graphite MMCs Using Powder Metallurgy Technique

Journal of Engineering, 2018
Copper, and its, alloys and composites (being the matrix), are broadly used in the electronic as well as bearing materials due to the excellent thermal and electrical conductivities it has.
Mohamed Khazal Hussein, Walaa W. Jameel, Noor Fadhil Athraa Sabah   +2 more
doaj   +1 more source

A powder-metallurgy-based strategy toward three-dimensional graphene-like network for reinforcing copper matrix composites

Nature Communications, 2020
Graphene networks have been used to reinforce polymer and ceramic composites, but connecting graphene into a three dimensional network in a metal matrix is challenging.
Xiang Zhang, Yixin Xu, Miaocao Wang, Enzuo Liu, Naiqin Zhao, Chunsheng Shi, Dong Lin, Fulong Zhu, Chunnian He   +8 more
doaj   +1 more source

Wavy‐Interlocked Stretchable Triboelectric Nanogenerators Enhanced by Liquid Metal Microflowers for Self‐Powered Wearable Motion Monitoring

Advanced Science, EarlyView.
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu, Huimin Li, Hanmin Zeng, Yahui Meng, Yimeng He, Xinke Hu, Senfeng Zhao, Jianxun Zhang, Peiqiong Zhou, Kechao Zhou, Dou Zhang, Chris Bowen, Yan Zhang   +12 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +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

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

Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing

Advanced Science, EarlyView.
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang, Steve Gaudez, Mario Togni, Steven Van Petegem, Markus Bambach, Mamzi Afrasiabi   +5 more
wiley   +1 more source

A Supramolecular Reversible and Anisotropic Conductive Adhesive for Flexible Electronics

Advanced Science, EarlyView.
Supramolecular network‐based nanocomposites are developed as a stretchable conductive adhesive for flexible electronics. It's as convenient as traditional solders and constructs anisotropic conductive and robust stretchable connections among diverse soft/rigid materials.
Tongtong Li, Yahui Zhao, Ying Zhang, Yuquan Li, Xuan Ye, Hongyun Qiu, Zhaorui Zhang, Jiang‐Fei Xu, Shaobo Ji   +8 more
wiley   +1 more source

Pollutant Emissions, Control and Prevention in the Secondary Copper Industry

The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, 2008
This paper presents an analysis of pollutant emissions specifics to copper waste valorization. There are made appreciations of the role and importance which have the characteristics of mixed charge with waste having a variable content of copper (copper ...
Anisoara CIOCAN, Stefan BALTA
doaj  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source