Results 131 to 140 of about 80,219 (304)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Effect of Nanocarbon on the Structural and Mechanical Properties of 6061 Aluminum Composites by Powder Metallurgy. [PDF]

Nanomaterials (Basel), 2023
Rativa-Parada W, Sirikumara HI, Karunanithy R, Sivakumar P, Jayasekera T, Nilufar S.   +5 more
europepmc   +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

New Insights of Powder Metallurgy: Microstructure, Durability and Properties. [PDF]

Materials (Basel), 2023
Kováčik J, Manonukul A.
europepmc   +1 more source

Unveiling a Bulk WTaV Multicomponent Alloy With Superior Thermal Properties and Manufacturability

Advanced Science, EarlyView.
ABSTRACT Many tungsten (W)‐based medium and high entropy alloys (HEA) demonstrate superior microstructural stability and enhanced mechanical properties as compared to pure W, effectively rendering them as viable candidate materials for extreme environments such as nuclear fusion, aerospace applications, and so on.
Ishtiaque K. Robin, Skye N. Supakul, Shalini Tripathi, Eda Aydogan, Matthew T. Vigil, Caleb Hatler, Bochuan Sun, Akshay Korpe, Enrique Martinez, Saryu J. Fensin, Dan J. Thoma, Osman El‐Atwani   +11 more
wiley   +1 more source

Microstructural Characterization of Al_0.5CrFeNiTi High Entropy Alloy Produced by Powder Metallurgy Route. [PDF]

Materials (Basel), 2023
Geambazu LE, Tălpeanu D, Bololoi RV, Manea CA, Bololoi AE, Miculescu F, Pătroi D, Cojocaru VD.   +7 more
europepmc   +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

Preparation, processing, and application of ultrathin lithium metal

MetalMat
Lithium metal is a promising electrode material for next‐generation high‐energy‐density rechargeable batteries with its high theoretical capacity (3860 mAh g−1) and low standard electrode potential (−3.04 V vs. SHE).
Shaozhen Huang, Wenhao Li, Yu Zhang, Tianbao Li, Yuejiao Chen, Guichao Kuang, Wen Liu, Zhiyuan He, Zhibin Wu, Libao Chen   +9 more
doaj   +1 more source

Effect of Mn on the Properties of Powder Metallurgy Ti-2.5Al-xMn Alloys. [PDF]

Materials (Basel), 2023
Alshammari Y, Mendoza S, Yang F, Bolzoni L.   +3 more
europepmc   +1 more source

Controlled Moderate Interfacial Reaction Facilitates High‐Strength Low‐Resistivity Barrier Layer for Half‐Heusler Thermoelectrics

Advanced Science, EarlyView.
The barrier layer is designed comprehensively by thermal expansion coefficient and interfacial reaction energy to yield a controlled interfacial reaction. Ultimately, the Co25Fe50Ni25/half‐Heusler joint simultaneously achieves low contact resistivity and high bonding strength.
Jian Liang, Shuyue Tan, Lifeng Jiang, Wen Zhang, Hongda Song, Xinghui Wang, Haiping Guo, Huijun Kang, Rongchun Chen, Enyu Guo, Zongning Chen, Tongmin Wang   +11 more
wiley   +1 more source