Results 321 to 330 of about 4,987,259 (403)

A Perspective on Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed Stainless Steels

open access: yesAdvanced Engineering Materials, EarlyView.
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker   +5 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced 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

Application of Nuclear Medicine Liver-Spleen Scan for Evaluation of Littoral Cell Angioma of the Spleen: A Case Report. [PDF]

open access: yesJ Investig Med High Impact Case Rep
Dermarderosian A   +4 more
europepmc   +1 more source

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

open access: yesAdvanced 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

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced 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

UK national survey on nuclear medicine in-house clinical software: the calm before the storm. [PDF]

open access: yesNucl Med Commun
Murray AW   +4 more
europepmc   +1 more source

An Examination of Aerosol Jet‐Printed Surface Roughness and its Impact on the Performance of High‐Frequency Electronics

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley   +1 more source

Comparison Length of Linker in Compound for Nuclear Medicine Targeting Fibroblast Activation Protein as Molecular Target. [PDF]

open access: yesInt J Mol Sci
Hisada K   +14 more
europepmc   +1 more source

Powder Metallurgy Preparation of Metastable β Ti–Cr–Ge Alloys for Medical Applications

open access: yesAdvanced Engineering Materials, EarlyView.
This study develops metastable β Ti–Cr–Ge alloys using powder metallurgy for biomedical implants. The Ti–10Cr–2Ge alloy exhibits superior mechanical performance with high yield strength (>1100 MPa), low Young's modulus (<85 GPa), and excellent strain hardening behavior.
Teddy Sjafrizal   +3 more
wiley   +1 more source

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