Results 121 to 130 of about 24,900 (287)
Uncovering the Origin of Efficiency Roll‐Off in TADF OLEDs
OLEDs based on thermally activated delayed fluorescent (TADF) materials often suffer from a severe drop in efficiency at high brightness levels. This work presents a technique to uncover the source of this efficiency drop, and quantifies the exciton‐exciton and exciton‐polaron annihilation processes responsible for efficiency losses in our TADF OLEDs ...
Liam G. King +3 more
wiley +1 more source
Molecular representations of quantum circuits for quantum machine learning
We establish an isomorphism between quantum circuits (QCs) and a subspace of polyatomic molecules, which suggests that molecules can be used as descriptors of QCs for quantum machine learning.
Elham Torabian, Roman V Krems
doaj +1 more source
ABSTRACT In this work, we introduce a trifluoromethoxy (OCF3) group as a pseudo‐halogen terminal group design for non‐fullerene acceptors, which combines strong inductive electron‐withdrawing ability with moderate resonance donation. The as‐synthesized BTP‐OCF3, when benchmarked against its methoxy analogue BTP‐OCH3, demonstrates narrowed bandgap ...
Chunliang Li +16 more
wiley +1 more source
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source
Molten KNO2 treatment induces a lowrefractive index disordered carbon shell on fluorescent nanodiamonds, enhancing fluorescence emission while preserving spin coherence. Machine learningassisted correlative TEMPL enables direct single‐particle resolution of this enhancement relative to air‐oxidized nanodiamonds of similar morphology, establishing a ...
Parkarsh Kumar +10 more
wiley +1 more source
In silico prediction of xenobiotic metabolism is an important strategy to accelerate the drug discovery process, as candidate compounds often fail in clinical phases due to their poor pharmacokinetic profiles. Here we present MetaQM, a dataset of quantum-
Alessio Macorano +5 more
doaj +1 more source
QTAIM Based Computational Assessment of Cleavage Prone Bonds in Highly Hazardous Pesticides
Highly Hazardous Pesticides (HHPs) pose severe risks to human health and the environment, making it essential to understand their molecular stability and degradation pathways. In this study, the Quantum Theory of Atoms in Molecules (QTAIM) was applied to
Andrés Aracena +3 more
doaj +1 more source
11th German Conference on Chemoinformatics (GCC 2015) : Fulda, Germany. 8-10 November 2015. [PDF]
Abel, R +259 more
core +1 more source
DNA‐Origami‐Assembled Rhodium Nanoantennas for Deep‐UV Label‐Free Single‐Protein Detection
Deep‐UV autofluorescence of single proteins in DNA origami‐based rhodium nanoantennas. Precisely positioned within the plasmonic nanogap, proteins retain their native state while their intrinsic emission is strongly amplified, enabling label‐free single‐molecule detection and opening new opportunities for highly sensitive and specific biosensing ...
Nicco Corduri +8 more
wiley +1 more source
Two pyridinium‐based ionic liquid templated hybrid manganese halides, (C4Py)2[MnCl4] and (C4Py)2[MnBr4], display similar bulk structures but show significantly different photoluminescence behaviors due to the bromine heavy‐atom effect. Their stable local Mn environments remain intact even in the molten state, allowing applications such as luminescence ...
Biswajit Bhattacharyya +22 more
wiley +1 more source

