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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
This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold+9 more
wiley +1 more source
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato+6 more
wiley +1 more source
Sensitivity to Penicillin Causing an Acute Abdominal Emergency [PDF]
W.J.S. Still
openalex +1 more source
Prestraining the substrate influences coating formation process. Higher prestraining force leads to higher coating thickness and lower hardness. Increase in prestraining force enhances preliminary damage in hard anodic coating. Fatigue damage mechanisms change for hard anodized prestrained samples.
Linto George Thomas+4 more
wiley +1 more source