Results 81 to 90 of about 978 (259)

Dual Activation of H2 and CO2 by a Pincer‐Type Ni–Zn Heterobimetallic Complex

Angewandte Chemie, EarlyView.
A bimetallic Ni−Zn complex performs sequential activations of H2 (1 equiv) and CO2 (2 equiv). This bimetallic cooperativity is attributed to the weak Lewis acidic nature of Zn(II), which promotes fluxional ligand binding. Namely, an X‐type ligand at Ni, where X is hydride or formate, toggles between two different binding modes: bridging Zn(μ‐X)Ni and ...
Krishnendu Dey, Matthias Borowski, Gregor Schnakenburg, Connie C. Lu   +3 more
wiley   +2 more sources

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Color‐Pure Organic Luminophores: Characteristics, Definitions, Physical Basis and Fundamental Design Principles

Angewandte Chemie, EarlyView.
Color‐pure all‐organic emitters, i.e., with narrow spectral characteristics, are intensively studied for high‐definition organic LEDs and multi‐color bioimaging. In order to guide targeted materials design, this educative review discusses spectral characteristics, proper definitions and units, and the physical basis of spectral broadening, to distill ...
Johannes Gierschner, Sunwu Song, Siyang Feng, Liangxuan Wang, Miguel Ródenas, Begoña Milián‐Medina, Min Sang Kwon   +6 more
wiley   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Foreign Language Enjoyment, L2 Grit, and Perceived Teacher Support in TESOL Contexts: A Structural Equation Modeling Study of L2 Willingness to Communicate

Education Sciences
This research explores the roles of perceived teacher support, L2 grit, and Foreign Language Enjoyment (FLE) in willingness to communicate (WTC) in English among Pakistani university students, thereby filling a contextual gap in Pakistani multilingual ...
Shaista Rashid, Sadia Malik
doaj   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Resilience, immunity, L2-teacher grit, and reflective teaching in language instruction: in service classes matters

, 2023
A professional training or staff development endeavor is known as an in-service program. During these programs, professionals get training and have the opportunity to discuss their work with others who are in their peer group. In the context of the field
Iman Nikpoo, Sayed M. Ismail
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

Advanced Intelligent Systems, EarlyView.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad, Misbah Bibi, Murad Ali Khan, Syed Shehryar Ali Naqvi, Adnan Ejaz Muhammad, Do-Hyeun Kim   +5 more
wiley   +1 more source