Results 121 to 130 of about 3,264 (232)

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Nanomaterials for Sensory Systems-A Review. [PDF]

open access: yesBiosensors (Basel)
Ivanov A   +4 more
europepmc   +1 more source

Food inflation pass‐through from agricultural imports in a small open economy

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley   +1 more source

Thymol: properties, synthesis, mechanism of action, and applications. [PDF]

open access: yesFront Nutr
Liu S   +13 more
europepmc   +1 more source

Unraveling ovarian histology: The key morphological aspects that spur the development of the Fossa ovarii in equine

open access: yesThe Anatomical Record, EarlyView.
Abstract The equine ovary exhibits unique structural and developmental features that distinguish it from those of other domestic species, including the presence of an ovulation fossa and an inversion of cortical and medullary layers. This study aimed to investigate the morphostructural development of the equine fetal ovary, with particular emphasis on ...
Laura Ver Goltz   +5 more
wiley   +1 more source

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