Results 161 to 170 of about 1,887,793 (348)
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
Advanced Engineering Materials, EarlyView.In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk +4 more
wiley +1 more source
Dutch–Norwegian Joint Establishment for Nuclear Energy Research: Report for the Year 1952–53 [PDF]
, 1954 openalex +1 more source
Effect of transparency on changing views regarding nuclear energy before and after Japan’s 2011 natural disasters: A cross-country analysis [PDF]
Using cross-country data, this paper examines the influence of government transparency on changing views regarding nuclear energy before and after Japan’s natural and nuclear disasters of 2011.
Yamamura, Eiji
core +1 more source
Graphene–Catechol Dental Sealant: Antibacterial and Mechanical Evaluation
Advanced Engineering Materials, EarlyView.This study presents dental sealants made with graphene and L‐DOPA‐modified graphene. L‐DOPA enhances graphene dispersion, improving sealant properties. The material shows antibacterial activity against S. mutans and L. casei, along with high strength and elasticity.
Renata Pereira +6 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay +3 more
wiley +1 more source