Results 191 to 200 of about 4,864,845 (302)

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

open access: yesAdvanced 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

Conformationally Switchable Copper(I) Complexes Amplify BODIPY Triplet Photosensitization

open access: yesAngewandte Chemie, EarlyView.
Coupling a structurally switchable Cu(I) complex to an organic light‐harvesting chromophore boosts photoinduced intersystem crossing via the transient formation of a Cu(II) intermediate. Spectroscopic, physical, computational, and photocatalytic studies support this unique new approach to solar energy upconversion.
Nisha Kamboj   +4 more
wiley   +2 more sources

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

Syntheses, X‐ray Crystal Structures, and Raman Spectra of Self‐Assembled XeO3 Chain and Network Complexes of Polytopic sp2‐ and sp3‐Nitrogen Bases

open access: yesAngewandte Chemie, EarlyView.
Supramolecular 1‐D, 2‐D, and 3‐D networks comprised of ‐(‐O═Xe(O2)‐‐)‐∞ and ‐(‐Xe(O2)O‐‐‐HO(H)‐‐)‐∞ chains coordinated to polytopic N‐base ligands were synthesized and structurally characterized by X‐ray crystallography. Their Xe‐‐‐N and Xe‐‐‐O bonds are characteristic of σ–hole bonds in which the nucleophilic Lewis base sites of the N‐ligands, H2O ...
James T. Goettel   +2 more
wiley   +2 more sources

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

open access: yesAdvanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit   +8 more
wiley   +1 more source

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