Results 81 to 90 of about 20,072 (266)

Research on the Synthesis of Hafnium Diboride via Molten Salts

Kuangchan zonghe liyong
This is an article in the field of metallurgical engineering. High purity hafnium diboride (HfB2) powders were synthesized from hafnium oxide (HfO2) and boron carbide (B4C) powders via sodium chloride as the molten salt through boron/carbon thermal ...
Chong YU, Can LIU, Yiran PU, Hao WU
doaj   +1 more source

Multilayer Biobased Poly(ethylene furanoate)/Graphene Oxide Nanofibrous Membranes With Directional Water Transport for Efficient Microplastics Filtration

Advanced Materials Technologies, EarlyView.
A self‐assembled multilayer biobased PEF/GO nanofibrous membrane was developed by electrospinning for efficient PLA microplastics (MPs) filtration. The membrane combines superhydrophilicity, directional water transport, mechanical robustness, and a synergistic size‐exclusion interception and electrostatic repulsion MPs separation mechanism, enabling ...
Juraij Kandiyil, Sumayya Ansari, Prasanna Kumar S Mural, Yaser E. Greish, Adnan Younis, Akmal Nazir, Muhammad Z. Iqbal   +6 more
wiley   +1 more source

Study on Leaching of Gallium and Scandium from a Gibbsite-Type Bauxite

Kuangchan zonghe liyong
This is an article in the field of metallurgical engineering. There are high contents of gallium and scandium in bauxite, which has great recovery value.
Changju JIANG, Zhanchang LEI, Zhiping FAN   +2 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

Boron Recovery and Utilization of Boron Bearing Tailings from Wengquanggou, Fengcheng

Kuangchan zonghe liyong
With the increasing attention on boron resources at home and abroad, the safety supply of boron resources is particularly important in order to prevent the risk of "choking" of boron resources.
Zhuang YUAN, Wen CHEN, Xiaoyin LIU, Xiang WANG, Xin SONG, Wei WANG   +5 more
doaj   +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

N235 Recovers Vanadium from Waste Solution of Vanadium Precipitation by Spent Catalyst

Kuangchan zonghe liyong
This is an article in the field of metallurgical engineering. For the vanadium precipitation waste liquid of a waste catalyst in a zinc smelter in Shaanxi, the vanadium in the vanadium precipitation waste liquid was recovered by solvent extraction method.
Jun ZHU, Mei GUO, Xinhai LIU, Yitong XU, Xiaopeng LI, Danyang LIU   +5 more
doaj   +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