Results 191 to 200 of about 5,606,045 (335)
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
Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases. [PDF]
Darmoni SJ+6 more
europepmc +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
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
Direct Consolidation of Copper–Graphene Composite by Rotary Swaging
The applicability of the rotary swaging method for preparation of electroconductive copper–graphene composite by direct consolidation of powders is proven. The consolidated material features advantageous microstructure featuring fine grains and twins, with homogeneous distribution of graphene, primarily along the twin boundaries, which contribute to ...
Radim Kocich+2 more
wiley +1 more source
Participation and Medical Subject Headings [PDF]
openaire +2 more sources