Results 191 to 200 of about 3,257,292 (311)

Linking DSC/TGA to Cell Levels: Energetics, Evolved Gases, and Thermal Safety of NMC811‐Graphite Micro‐Cell

open access: yesAdvanced Energy Materials, EarlyView.
A bottom‐up, component‐resolved framework combining DSC/TGA, evolved gas analysis, and in situ XRD reveals how decomposition pathways control energy release in partial and micro‐cell configurations. Separator‐free assemblies are dominated by cathode‐O2${\rm O}_2$/anode‐Li reactions, while the separator restricts oxygen transport, reshapes the reaction ...
Ayrton M. Yanyachi   +8 more
wiley   +1 more source

Fluorine-18 Radiolabeled Single-Chain Antibody Variable Fragment 1F4 Targets α1-Subunit Gamma-Aminobutyric Acid Type A Receptors in Mice. [PDF]

open access: yesJ Med Chem
García de Lucas Á   +11 more
europepmc   +1 more source

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

open access: yesAdvanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang   +3 more
wiley   +1 more source

Generative and Experimental Validation of High Refractive Index Polymers via Domain Knowledge Approach with Small Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo   +3 more
wiley   +1 more source

Formation of Gallium Monofluoride in the Coordination Sphere of Nickel

open access: yesAngewandte Chemie, EarlyView.
The elusive gas‐phase species gallium monofluoride forms selectively in the coordination sphere of a nickel(II) centre as a product of C(sp3)–F bond activation, with a weakly coordinating anion as the fluorine source. The herein reported gallium monofluoride ligand acts as a very strong σ‐donor ligand at nickel and serves as a fluorine donor towards ...
Johannes Stephan   +6 more
wiley   +2 more sources

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