Results 291 to 300 of about 9,163,804 (344)
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
Genetic assessment and Identification of genes related to characterization of Guangdong local goose breeds based on modern and historical genomes. [PDF]
Zhang X+13 more
europepmc +1 more source
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
Confidence in elections among U.S. local officials: Effects of social trust, partisanship and political ambition. [PDF]
Plutzer E+4 more
europepmc +1 more source
Unlocking structural efficiency, this work integrates homogenization‐based topology optimization with functionally graded triply periodic minimal surface lattices to create highly efficient, customizable lattice structures. Key achievements include the development of a versatile MATLAB framework, optimization of mechanical properties for additive ...
Mirhan Ozdemir+4 more
wiley +1 more source
Harnessing local inhomogeneity for enhanced dielectric energy storage. [PDF]
Liu Y+6 more
europepmc +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
From Spectra to Structure: AI-Powered <sup>31</sup>P NMR Interpretation. [PDF]
Alberts M, Hartrampf N, Laino T.
europepmc +1 more source
Periodic submicron features are fabricated on 304 stainless steel using single and double femtosecond laser pulses. By adjusting polarization, fluence, and inter‐pulse delay, 1D and 2D nanostructures are formed. Enhanced hydrophobicity and dense surface‐enhanced Raman spectroscopy hotspots enable analyte detection down to 10−10 M with good ...
Balaji Baskar+3 more
wiley +1 more source
A multi-scale local attention mechanism for aspect extraction. [PDF]
Yang Q+7 more
europepmc +1 more source