Results 161 to 170 of about 19,580,563 (395)
Cyclic configuration of the aspartate ion in the crystal structure of zinc, cobaltous and nickelous aspartate trihydrate [PDF]
, 1957 Thomas H. Doyne +2 more
openalex +1 more source
Preparation and Crystal Structure Characterization of Li(1+x)mn2o4 [PDF]
, 2010 Li(1+x)Mn2O4 powder has been prepared with starting material of Li2CO3 as lithium source and MnO2 as manganese source. The preparation was done by powder metallurgy with varying Li addition in weight% of 5%, 10%, 15% and 30%.
Wigayati, E. M. (Etty)
core
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 +5 more
wiley +1 more source
Crystal Growth of High – Purity Bi2Se3 and Study of Crystal Structure
Iraqi Journal of Physics, 2009 The Bi2Se3 compound was synthesis by fusing initial compounds consisting of extra pure elements in stoichiometric ratio from elements compound, charged inside quartz ampoule.
Ghuson H. Mohammed
doaj
A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Advanced Engineering Materials, EarlyView.Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source