Results 121 to 130 of about 3,180,850 (297)
New Water Oxidation Mechanism in Photosystem II Resolves Major Experimental Controversies
Angewandte Chemie, EarlyView.In Photosystem II Oxygen Evolving Complex, we discovered the O3‐O6 peroxide at lower energy. Assignment of the O3 ligated by histidine (His337) as a slow exchanging substrate and its coupling with O6 give the O─O bond formation mechanism most consistent with all currently available experimental data. Proposal shows how protein environment can steer the
Yulia Pushkar
wiley +2 more sources
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
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 +2 more
wiley +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Advanced Intelligent Discovery, EarlyView.Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Fretting Characteristics of Dissimilar Metal Contacts
IEICE Transactions on Electronics, 2013 ITO, Tetsuya +2 more
openaire +1 more source
Advanced Intelligent Systems, EarlyView.Electrical impedance tomography (EIT) tactile skins enable multiplexed measurements that trade sensing speed against information richness. This work introduces an economy‐of‐touch framework that treats tactile sensing as an information‐budgeting problem.
Xiaoxian Xu, David Hardman, Fumiya Iida
wiley +1 more source
Experimental Evaluation of Interfacial Surface Cracks in Friction Welded Dissimilar Metals through Image Segmentation Technique (IST). [PDF]
Materials (Basel), 2018 Sayeed Ahmed GM +3 more
europepmc +1 more source
Animal Research and One Health, EarlyView.The bioactive substances we extracted from Lycium barbarum residue (LBR) have a typical polysaccharide structure. When 1.80% LBR was used to replace maize in the diet, the average daily gain of rossbred Simmental was significantly increased, and anti‐inflammatory ability was improved. In addition, LBR improved the fecal microbial composition, increased
Kun Cai +10 more
wiley +1 more source