Results 251 to 260 of about 24,980 (288)

Structural and Optical Properties of a 0D Lead Iodide Hybrid Perovskitoid with Aromatic Diammonium Cations

open access: yesSmall Structures, EarlyView.
A new 0D hybrid lead iodide perovskitoid with 3‐(aminomethyl)pyridinium) (3AMPy) as organic cation is reported. Its orthorhombic crystal structure consists of isolated [PbI6]4− octahedra, giving rise to vibrational modes with preferential crystal orientation and birefringence.
Lucía Olano‐Vegas   +10 more
wiley   +1 more source

Machine learning approach for predicting fire resistance of FRP‐strengthened concrete beams

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a data‐driven machine learning (ML)‐based approach for predicting the fire resistance of fiber‐reinforced polymer (FRP)‐strengthened reinforced concrete beams. To this end, a comprehensive database of fire tests on FRP‐strengthened concrete beams reported in literature was compiled.
P. P. Bhatt   +3 more
wiley   +1 more source

Artificial intelligence‐based displacement capacity prediction tool for three‐dimensional printed concrete walls

open access: yesStructural Concrete, EarlyView.
Abstract Digital technology applications such as three‐dimensional printers offer novel avenues for automating the construction of concrete structures. The process of 3D printing concrete structures involves designing in an office setting and printing on‐site.
Abdulkadir Ozalp, Alper Aldemir
wiley   +1 more source

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

open access: yesStructural Concrete, EarlyView.
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou   +3 more
wiley   +1 more source

Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non‐Hierarchical Analyses?

open access: yesJournal of Research in Science Teaching, EarlyView.
ABSTRACT There have been several attempts to conceptualize and operationalize pedagogical content knowledge (PCK) in the context of teachers' professional competencies. A recent and popular model is the Refined Consensus Model (RCM), which proposes a framework of dispositional competencies (personal PCK—pPCK) that influence more action‐related ...
Jannis Zeller, Josef Riese
wiley   +1 more source

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