Results 171 to 180 of about 40,151 (278)
Measurement and analysis of crystallographic texture
Hirofumi INOUE, Naotsugu INAKAZU
openaire +2 more sources
Aqueous zinc‐ion batteries suffer from rapid decay under practical conditions due to bilateral Zn2+/Mn2+ ionic crosstalk, a system‐level failure mechanism. We develop a hierarchical fluorinated polymer separator that regulates ion fluxes and stabilizes both electrodes simultaneously. This strategy enables extended cycle life while maintaining capacity,
Mei Han +8 more
wiley +1 more source
Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao +4 more
wiley +1 more source
High corrosion resistance and weak corrosion anisotropy of an as-rolled Mg-3Al-1Zn (in wt.%) alloy with strong crystallographic texture. [PDF]
Wang BJ +4 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source
Microstructure, texture–mechanical properties relations for steel grades API-X80 and API-X70 [PDF]
Sanchez Mouriño, Nuria
core +1 more source
ABSTRACT This study successfully prepared magnetic iron/cobalt codoped biochar catalyst (CFSBC) using a one‐step calcination method. The morphology and structure of the material were systematically characterized using SEM, XRD, FTIR, TEM, BET, Raman, VSM, and XPS techniques. The effects of key parameters such as catalyst dosage, peroxymonosulfate (PMS)
Jianhua Ni +3 more
wiley +1 more source
Crystallographic texture of semi-finished products [PDF]
openaire +2 more sources

