Results 281 to 290 of about 221,929 (334)

Machine learning‐enabled prediction of oxide glasses’ dielectric constants via augmented data and physicochemical descriptors

open access: yesMaterials Genome Engineering Advances, EarlyView.
Data augmentation and physicochemical descriptors achieve precise dielectric constant prediction in oxide glasses, reducing error by 72%. Structural descriptors (69.9% importance) establish glass network engineering as the key optimization pathway, validated in novel Y2O3/La2O3 glasses.
Zeyu Kang   +6 more
wiley   +1 more source

Artificial intelligence‐enabled synergistic design of strength and stress corrosion cracking resistance in light alloys

open access: yesMaterials Genome Engineering Advances, EarlyView.
High‐performance Al, Ti, and Mg alloys face the challenge of balancing strength and stress corrosion cracking (SCC) resistance. Artificial intelligence (AI)‐driven multi‐modal machine learning enables concurrent optimization of mechanical strength and SCC resistance by integrating ML‐based co‐design strategy, high spatiotemporal resolution in situ ...
Yakun Zhu   +5 more
wiley   +1 more source

Well log data generation and imputation using sequence based generative adversarial networks. [PDF]

open access: yesSci Rep
Al-Fakih A   +4 more
europepmc   +1 more source

Image‐Based Flaw Identification Using Convolutional Neural Network

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Flaw detection in structures is crucial for ensuring structural integrity and safety across various engineering applications. Traditional nondestructive evaluation (NDE) techniques often face challenges in accurately identifying and characterizing flaws, particularly when dealing with complex geometries and strain fields.
Pugazhenthi Thananjayan   +2 more
wiley   +1 more source

A Data‐Driven Approach to Integrated Adaptive Morphing and Guidance for Cruise Missiles

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT To address the complex coupling between aerodynamic characteristics and guidance control for morphing flight missiles, this study proposes a data‐driven approach to integrated adaptive morphing and guidance. Firstly, an aerodynamic surrogate model is constructed using a fully connected neural network (FCNN), mapping the configuration ...
Ming‐Yu Wu   +6 more
wiley   +1 more source

Three-Dimensional Bone-Image Synthesis with Generative Adversarial Networks. [PDF]

open access: yesJ Imaging
Angermann C   +4 more
europepmc   +1 more source

Populism and policy capacity: Evidence from an opposition municipality in Istanbul

open access: yesPublic Administration and Development, EarlyView.
Abstract Despite achievements in its conceptual rigor, policy capacity still represents a relatively depoliticized concept that fails to sufficiently consider the ways in which politics plays a role in its creation, mobilization, or decay. This article seeks to contribute to this debate by investigating the impact of populism on policy capacity, the ...
Ebru Ertugal, Faik Gür, İnan Sevinç
wiley   +1 more source

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