Results 281 to 290 of about 28,167,232 (365)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
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
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat+6 more
wiley +1 more source
Towards NetZero for hospital operating theatres. [PDF]
Eames I+5 more
europepmc +1 more source
Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials
This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder+3 more
wiley +1 more source
Impacts of biodiversity-dependent ecosystem service debts on the safe operating space of social-ecological systems: a theoretical modelling study. [PDF]
Eppinga MB+4 more
europepmc +1 more source
This study investigates the mechanical properties of Carbon/Aramid intraply hybrid fiber‐reinforced Elium composites under 6 months of water aging. After aging, flexural strength decreases by 25.89%, tensile strength by 4.40%, and fracture toughness by 21.56%.
Muhammed Huseyin Guzel, Gurol Onal
wiley +1 more source
Research on Shape-Performance Integrated Monitoring Technology for Planetary Gearboxes Based on the Integration of Artificial Intelligence, Finite Element Analysis, and Multibody Dynamics Simulation. [PDF]
Cui Y, An B, Wu Z, Shang Z, Zhang X.
europepmc +1 more source
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