Results 241 to 250 of about 1,133,928 (295)
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos +11 more
wiley +1 more source
Mechanically robust halide electrolytes for high-performance all-solid-state batteries. [PDF]
Han X +18 more
europepmc +1 more source
Mechanically Deposited Wear‐Resistant Amorphous Zr55Cu30Al10Ni5 Coatings
Mechanically deposited from glassy ribbons, the Zr55Cu30Al10Ni5 amorphous coating formed a hard, continuous layer on AISI 1010 steel, tripling substrate hardness, lowering friction, and reducing wear. Despite its rough surface, it showed friction and wear behavior comparable to the crystalline alloy, highlighting its strong potential as a durable ...
Tales Ferreira +8 more
wiley +1 more source
Text-mined dataset of solid-state syntheses with impurity phases using Large Language Model. [PDF]
Lee S +4 more
europepmc +1 more source
This study proposes a new methodology for producing metal matrix nanocomposites in the solid state. The process involves the plasma‐assisted thermochemical treatment of metallic alloy powders. As a proof‐of‐concept, TiN nanoparticles are synthesized directly on the surface of FeTi intermetallic powder particles, enabling the development of the ...
Deivison Daros Paim +4 more
wiley +1 more source
Chiral Self-Assembly of Zinc and Magnesium Porphyrins with Enantiopure Cyclohexanohemicucurbiturils in Solution and in Solid State. [PDF]
Šakarašvili M +11 more
europepmc +1 more source
Exploring stacking pressure-induced mechanical failure of a Ni-rich cathode in sulfide solid-state batteries. [PDF]
Feng Y +10 more
europepmc +1 more source
Interpretation of Kelvin Probe Force Measurements in Solid-State Electrochemical Cells. [PDF]
Weber F +6 more
europepmc +1 more source
Applications and Advances of Machine Learning in the Development of Solid-State Electrolytes for Lithium-Ion Batteries. [PDF]
Gao T, Wu Y.
europepmc +1 more source

