Results 121 to 130 of about 5,881 (252)

Borosulfates Hosting Se42+ Ions—Crystal Structures, Chemical Bonding, Optical Spectroscopy, and Magnetism

open access: yesAngewandte Chemie, EarlyView.
Apart from (transition) metal (oxo)halides only few hosts stabilize chalcogenide cations in purely oxoanionic coordination environment. Herein, we report on five borosulfates containing the Se42+ ion and characterize the compounds using X‐ray diffraction, diffuse reflectance spectroscopy, density functional theory (DFT) calculations along with magnetic
Erich Turgunbajew   +11 more
wiley   +2 more sources

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

open access: yesAdvanced 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

Template‐Encoded Assembly and Adaptive Function in Selenium‐Based Molybdenum Chalcoxide Rings

open access: yesAngewandte Chemie, EarlyView.
External templates write structural information into Se‐containing molybdenum rings, while selenium's softness confers adaptive host–guest behaviour and catalytic responsiveness, an integrated framework for programmable inorganic function. ABSTRACT Controlling both structure and function in inorganic self‐assembly remains a major challenge.
Giulia Pellegrino   +4 more
wiley   +2 more sources

Opening the pathway towards a scalable electrochemical semi-hydrogenation of alkynols via earth-abundant metal chalcogenides. [PDF]

open access: yesChem Sci, 2022
Pellumbi K   +12 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization

open access: yesAdvanced Intelligent Systems, EarlyView.
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee   +3 more
wiley   +1 more source

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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