Results 221 to 230 of about 1,895,431 (338)
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
Comprehensive evaluation of phosphoproteomic-based kinase activity inference. [PDF]
Müller-Dott S+16 more
europepmc +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
This study investigates the magnetic properties and microstructures of 2PM‐manufactured Ce‐containing (Nd,Pr)‐Fe‐B magnets. The addition of Nd and Dy significantly enhances coercivity by 25% and 81%, respectively, attributed to core‐shell structures.
Chi‐Chia Lin+6 more
wiley +1 more source
Exploring Smartphone-Based Edge AI Inferences Using Real Testbeds. [PDF]
Hirsch M, Mateos C, Majchrzak TA.
europepmc +1 more source