Results 41 to 50 of about 1,032,019 (347)

Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels

Metallurgical and Materials Transactions. A, 2020
This is a viewpoint paper on recent progress in the understanding of the microstructure–property relations of advanced high-strength steels (AHSS).
D. Raabe, Binhan Sun, A. Kwiatkowski da Silva, B. Gault, H. Yen, K. Sedighiani, Prithiv Thoudden Sukumar, I. S. Souza Filho, Shyam Katnagallu, E. Jägle, P. Kürnsteiner, N. Kusampudi, L. Stephenson, M. Herbig, C. Liebscher, H. Springer, S. Zaefferer, Vitesh Shah, S. Wong, C. Baron, M. Diehl, F. Roters, D. Ponge   +22 more
semanticscholar   +1 more source

Soft‐Layered Composites with Wrinkling‐Activated Multi‐Linear Elastic Behavior, Stress Mitigation, and Enhanced Strain Energy Storage

Advanced Engineering Materials, EarlyView.
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia, Nicholas Xuanlai Fang, Mary C. Boyce   +2 more
wiley   +1 more source

Direct Observation of the Deformation Mechanism of Twin-Structured Ni NWs under Bending Strain

Metals, 2022
In situ atomic-scale bending tests of twin-structured Ni nanowires were realised using a homemade deformation device. The results showed that the plastic deformation mechanism in twin-structured Ni nanowires depended on the deformation stage.
Zihao Zhang, Chengpeng Yang, Yizhong Guo, Xueqiao Li, Deli Kong, Yan Lu, Changjiang Nie, Lihua Wang   +7 more
doaj   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Current-induced domain wall motion in a van der Waals ferromagnet Fe3GeTe2

Nature Communications
The manipulation of spin textures by spin currents is of fundamental and technological interest. A particularly interesting system is the 2D van der Waals ferromagnet Fe3GeTe2, in which Néel-type skyrmions have recently been observed. The origin of these
Wenjie Zhang, Tianping Ma, Binoy Krishna Hazra, Holger Meyerheim, Prajwal Rigvedi, Zihan Yin, Abhay Kant Srivastava, Zhong Wang, Ke Gu, Shiming Zhou, Shouguo Wang, See-Hun Yang, Yicheng Guan, Stuart S. P. Parkin   +13 more
doaj   +1 more source

Suspended Liquid Subtractive Lithography: One-step generation of 3D channel geometries in viscous curable polymer matrices

Scientific Reports, 2017
The miniaturization of synthesis, analysis and screening experiments is an important step towards more environmentally friendly chemistry, statistically significant biology and fast and cost-effective medicinal assays.
D. Helmer, A. Voigt, S. Wagner, N. Keller, K. Sachsenheimer, F. Kotz, T. M. Nargang, B. E. Rapp   +7 more
doaj   +1 more source

Digital fingerprinting of microstructures

Computational Materials Science, 2023
Finding efficient means of fingerprinting microstructural information is a critical step towards harnessing data-centric machine learning approaches. A statistical framework is systematically developed for compressed characterisation of a population of images, which includes some classical computer vision methods as special cases.
M.D. White, A. Tarakanov, P.J. Withers, C.P. Race, K.J.H. Law   +4 more
openaire   +3 more sources

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Radiative cooling and indoor light management enabled by a transparent and self-cleaning polymer-based metamaterial

Nature Communications
Transparent roofs and walls offer a compelling solution for harnessing natural light. However, traditional glass roofs and walls face challenges such as glare, privacy concerns, and overheating issues.
Gan Huang, Ashok R. Yengannagari, Kishin Matsumori, Prit Patel, Anurag Datla, Karina Trindade, Enkhlen Amarsanaa, Tonghan Zhao, Uwe Köhler, Dmitry Busko, Bryce S. Richards   +10 more
doaj   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source