Results 281 to 290 of about 8,550,777 (369)
Advanced Engineering Materials, EarlyView.A novel approach for alloy development in laser powder bed fusion is introduced. Instead of producing massive samples of one composition at a time, prepressed powder bed samples produced from powder mixtures are processed. Guidelines for the selection of precursor powders are developed.
Felix Großwendt +6 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
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
Advanced Engineering Materials, EarlyView.The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker +5 more
wiley +1 more source
Tailored Nickel Base Multilayer Systems with Adjusted Grain Size and Chemical Composition
Advanced Engineering Materials, Volume 27, Issue 7, April 2025.Nickel base multilayer systems are fabricated with pulsed electrodeposition and adjusted according to grain size and copper content. The material is characterized with scanning electron microscopy in combination with energy‐dispersive X‐ray spectroscopy and for deeper insights to the multilayer interfaces with transmission electron microscopy ...
Jutta Luksch +6 more
wiley +1 more source
Traumatic brain injury related research in India: An overview of published literature
, 2016 Amit Agrawal +9 more
openalex +2 more sources
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