Results 251 to 260 of about 401,182 (321)

Enhancing the statistical probability factor in triplet-triplet annihilation photon upconversion <i>via</i> TIPS functionalization. [PDF]

open access: yesChem Sci
Naimovičius L   +14 more
europepmc   +1 more source

Emerging Opportunities of Metal Nanoclusters for Photocatalytic Organic Synthesis

open access: yesAggregate, EarlyView.
Atomically precise metal nanoclusters have emerged as versatile photocatalysts for photo‐induced organic reactions. This review comprehensively summarizes recent advances in this cutting‐edge research field. We begin the discussion with a brief introduction of metal nanoclusters and the fundamental principles of photocatalysis.
Chun‐Lian Lin   +4 more
wiley   +1 more source

Correction to "Enhancement of Blue Doping-Free and Hyperfluorescent Organic Light Emitting Diode Performance through Triplet-Triplet Annihilation in the Derivatives of Anthracene and Carbazole". [PDF]

open access: yesACS Appl Electron Mater
Bezvikonnyi O   +9 more
europepmc   +1 more source

Thermally Activated Dual‐Room‐Temperature Phosphorescence: Triplet Up‐Converted Anti‐Kasha in Dendrimers Enabled by Rigid Matrix Stabilization

open access: yesAggregate, EarlyView.
To address anti‐Kasha RTP's lacking design strategies and conventional rigid polymers’ failure to break Kasha's rule, this work synthesizes dTC‐BPSAF via acceptor dendronization. Carbazole dendrons regulate triplet hybridization to form near‐degenerate T1/T2.
Chensen Li   +5 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun   +8 more
wiley   +1 more source

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