Results 81 to 90 of about 27,256 (210)

Extended Fused Carbazole‐BODIPY, High Brightness NIR Organic Dyes

open access: yesAngewandte Chemie, EarlyView.
Highly fused boron‐dipyrromethene (BODIPY) with a strong donor group has been synthesized, and their photophysical behaviors fully characterized. They exhibit outstanding brightness for fluorophores emitting in the NIR region. Water‐soluble nanoparticles filled with one of these dyes demonstrate high efficiency as the NIR II visualization agent ...
Fabien Ceugniet   +9 more
wiley   +2 more sources

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Induced Photoelectron Circular Dichroism as a Probe for Distinguishing Diastereotopic Lone Electron Pairs

open access: yesAngewandte Chemie, EarlyView.
Gas‐phase complexation of chiral methyloxirane by achiral phenol results in induced chiroptical response of phenol. Two pseudo enantiomer complexes are observed, corresponding to hydrogen bonding from phenol to either of the lone electron pair of the methyloxirane oxygen, denoted as Pro R and Pro S, with opposite chiral deformation of phenol and ...
Etienne Rouquet   +5 more
wiley   +2 more sources

Orbital and Electrical Dual Function of Polymer Intercalant for Promoting NH4+ Storage in Vanadium Oxide Anode

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The impact of polyaniline insertion on the atomic orbitals and electronic structure of vanadium oxide anode is systematically investigated for the first time. The electrode exhibits an outstanding capacity and unprecedent long‐term cycling life, owing to the electron transition to the V 3dxy state and the enhanced diffusion kinetics.
Yue Zhang   +6 more
wiley   +1 more source

Sustainable Carbon Fibers Enable Stable Long‐Term Lithium Metal Deposition for Prospective Zero‐Excess Lithium Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This work presents lightweight, lignin‐derived carbon fiber current collectors that enable controlled lithium deposition. Structural defects and intermediate‐sized pores stabilize pre‐nucleation quasi‐metallic lithium clusters, promoting uniform lithium plating and stripping.
Samantha L. S. Southern   +13 more
wiley   +1 more source

Patient‐Mounted Neuro Optical Coherence Tomography for Targeted Minimally Invasive Micro‐Resolution Volumetric Imaging in Brain In Vivo

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a patient‐mounted neuro optical coherence tomography system that integrates a 5 degrees‐of‐freedom skull‐mounted robot (Skullbot) with a 0.6 mm neuroendoscope for targeted, minimally invasive deep brain imaging, is developed. The system offers high‐resolution imaging with precise deployment, demonstrated through successful tumor imaging in a ...
Chao Xu   +7 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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