Results 181 to 190 of about 667,753 (295)
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
Lifetime Stressor Severity and Diurnal Cortisol in Older African American Adults: A Comparison of Three Theoretical Models. [PDF]
Knauft K+6 more
europepmc +1 more source
Transgender-based disparities in suicidality: A population-based study of key predictions from four theoretical models. [PDF]
Bränström R+3 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
Deciphering vimentin assembly: Bridging theoretical models and experimental approaches. [PDF]
Jeong S, Ha NC.
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
Developing Theoretical Models for Atherosclerotic Lesions: A Methodological Approach Using Interdisciplinary Insights. [PDF]
Hofmann AG.
europepmc +1 more source
Theoretical Analysis and Model Study of the Formation of A-Type Segregation in Ingot
Shigeo Asai, Takahiko SAHARA, Iwao Muchi
openalex +2 more sources
Morphological features of three defect types in metal additive manufacturing (AM)—lack of fusion, keyhole, and gas‐entrapped pores—are statistically characterized using best‐fit distributions evaluated via coefficient‐of‐determination, Kolmogorov–Smirnov test, and quantile–quantile plots.
Ahmad Serjouei, Golnaz Shahtahmassebi
wiley +1 more source