Results 151 to 160 of about 13,658,456 (395)

Experimental and numerical analysis of a helical spring failure [PDF]

, 2017
Results of experimental and numerical analysis of a broken motor vehicle helical spring are presented in this paper. Location of the fracture is on a first active coil of the spring.
Brcic, Marino, Vukelic, Goran
core  

Toward Flexible Printed Electronics: A Spider‐Silk‐Inspired, Strong and Tough Thermoplastic Polyamide Elastomer

Advanced Science, EarlyView.
Inspired by spider silk, a bio‐inspired polyamide elastomer with a dynamic physical cross‐linking network is developed. Mimicking the rigid β‐sheet crystals and sacrificial hydrogen bonds of silk, the material achieves an exceptional balance of strength and toughness.
Bo Yang, Liyue Zhang, Mengjing Yang, Hangzhi Guo, Zhibo Lin, Xinyu Qi, Wenjun Li, Haiyan Yan, Meng Li, Yanhui Chen, Weixing Chen, Zhenguo Liu, Wei Huang   +12 more
wiley   +1 more source

Structural-phase state and microhardness of reduced-activation 12-% chromium ferritic-martensitic steel after thermomechanical treatmentswith deformation at 1000°C and 1100°C

Frontier Materials & Technologies
Russian 12-% chromium ferritic-martensitic EK-181 steel (RUSFER-EK-181 Fe–12Cr–2W–V–Ta–B) is a promising structural material for power plants.
Valeria V. Osipova, Nadezhda A. Polekhina, Igor Yu. Litovchenko   +2 more
doaj   +1 more source

Laser cooling and control of excitations in superfluid helium

, 2015
Superfluidity is an emergent quantum phenomenon which arises due to strong interactions between elementary excitations in liquid helium. These excitations have been probed with great success using techniques such as neutron and light scattering.
Baker, C., Bowen, W. P., Harris, G. I., McAuslan, D. L., Sachkou, Y., Sheridan, E.   +5 more
core   +1 more source

Effect of ultrasonic pre-treatment of thermomechanical pulp on hydrogen peroxide bleaching [PDF]

, 2012
Éric Loranger, Alasdair Charles, Claude Daneault   +2 more
openalex   +1 more source

Precipitation‐Modulated Harmonic Architectures Enable Superior Strength–Ductility Synergy from Cryogenic to Elevated Temperatures in Nanostructured Alloys

Advanced Science, EarlyView.
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li, Liangyin Xiong, Mengchao Niu, Junhua Luan, Wei Wang, Zengbao Jiao   +5 more
wiley   +1 more source

Cryogenic Properties of a New Tough-Strong Iron Alloy [PDF]

A program was undertaken to develop an iron-base alloy having a fracture toughness of 220 MPa. m superscript 1/2 with a corresponding yield stress of 1.4 GPa (200 ksi) at-196 C. An Fe-12Ni alloy was selected as the base alloy. Factors considered included
Stephens, J. R., Witzke, W. R.
core   +1 more source

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Effect of thermomechanical treatment on the microstructure and mechanical properties of Si-containing oxide dispersion strengthened reduced activation ferritic steel synthesized via mechanical alloying and spark plasma sintering

, 2021
Wahida R. Ilaham, Lavish Kumar Singh, Anil Kumar, Tapas Laha   +3 more
openalex   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source