Results 121 to 130 of about 43,550 (252)

Exciton Radiative Lifetimes in Hexagonal Diamond Ge and SixGe1–x Alloys

open access: yesAdvanced Optical Materials, EarlyView.
Strong room‐temperature photoluminescence reported in hexagonal Ge conflicts with theory predicting a nearly dark band edge. First‐principles calculations of excitonic radiative lifetimes fill a key gap in this debate, showing that pristine hexagonal Ge remains intrinsically weakly emissive, while Si alloying only modestly shortens the lifetime and ...
Michele Re Fiorentin   +2 more
wiley   +1 more source

Mitigating Efficiency Roll‐Off in Phosphor‐Sensitized Fluorescence OLEDs via Molecular Polarity‐Based Benzofuropyridine Host Engineering

open access: yesAdvanced Optical Materials, EarlyView.
Positional isomerism in dibenzofuran‐based n‐type hosts modulates molecular polarity, charge‐transport balance, and emissive‐layer packing. The higher‐polarity BFPDB‐2 host facilitates efficient energy funneling, reduced aggregation, and preferential dipole orientation, leading to phosphor‐sensitized fluorescence OLEDs with enhanced external quantum ...
Nargis Ali   +3 more
wiley   +1 more source

When Cubic is Not Isotropic: Phonon–Exciton Decoupling in CuInSnS4 Single Crystals

open access: yesAdvanced Optical Materials, EarlyView.
A cubic CuInSnS4 crystal does not fully play by cubic rules. While phonons follow the average iso‐tropic lattice symmetry, the disorder‐localized excitons break away, showing strong, and reproduci‐ble polarization‐dependent emission. This work shows how intrinsic cation disorder can turn a mac‐roscopically cubic material into a source of hidden ...
Lara Kim Linke   +11 more
wiley   +1 more source

Bayesian‐Optimized Dual‐Mode Luminescence‐Based Optical Thermometry Enabled by Negative Thermal Expansion in Lu2(MoO4)3:Yb–Er–Tm Phosphor

open access: yesAdvanced Optical Materials, EarlyView.
A Bayesian optimization framework identifies the ideal composition for Lu2(MoO4)3:Yb–Er–Tm phosphors with minimal experimental trials. By leveraging the host's negative thermal expansion, the material achieves remarkable thermal quenching compensation.
Reiko Furukawa   +7 more
wiley   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

open access: yesAdvanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov   +2 more
wiley   +1 more source

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