Results 161 to 170 of about 7,511 (256)
Transient electron spin resonance distinguishes interfacial charge‐transfer states from separated charges, revealing competing charge separation pathways in organic photovoltaic blends. The relative contributions of fast charge separation and a pathway mediated by spin‐polarized charge‐transfer states vary across different blends, with high‐efficiency ...
Jack M. S. Palmer, Claudia E. Tait
wiley +1 more source
Conformationally Switchable Copper(I) Complexes Amplify BODIPY Triplet Photosensitization
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
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Beyond Radical Emitters: Hot‐Exciton Electroluminescence From Singlet Diradicaloids
The first hot‐exciton mechanism in a singlet diradicaloid is demonstrated in a polychlorinated Thiele hydrocarbon‐based organic light‐emitting transistor. Reverse intersystem crossing involving the T2 and bright singly excited states enables electroluminescence beyond the 25% spin‐statistical limit, leading to remarkable external quantum efficiency ...
Mario Prosa +12 more
wiley +2 more sources
Using X-ray free electron lasers to explore extreme states under quasi-static compression. [PDF]
Husband RJ +3 more
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
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
Calcium-molybdenum-cobalt-2-methylimidazole trimetallic organic framework as a saturable absorber for passive mode-locked thulium-holmium doped fiber lasers. [PDF]
Ahmad H +10 more
europepmc +1 more source
Investigations of spin textures at small length and short timescales with neutron, x-ray, and optical methods. [PDF]
Fischer P +5 more
europepmc +1 more source

