Results 101 to 110 of about 1,258,060 (324)

Ladder‐Type Benzene‐Perylene Dyes with Efficient Laser Properties in the Near‐IR by Detracting/Activating Low/High Frequency Vibronic Modes

open access: yesAdvanced Functional Materials, EarlyView.
The NNR‐n series of oligomeric nanographenes delivers exceptional emission performance. This work shows that this performance is originated by their ladder‐type structure, which effectively deactivates low‐frequency vibronic modes. This deactivation neglects the main pathway for non‐emissive deactivation, even in the near‐infrared region. The potential
Marcos Díaz‐Fernández   +12 more
wiley   +1 more source

Gaussian Regression Process for Prediction of Compressive Strength of Thermally Activated Geopolymer Mortars

open access: gold, 2022
Nenad Ristić   +6 more
openalex   +2 more sources

The Influence of Annealing on the Sb Layer in the Synthesis of [001]‐Oriented Sb2Se3 Film for Photoelectrochemical Hydrogen Gas Generation

open access: yesAdvanced Functional Materials, EarlyView.
[001]‐oriented Sb2Se3 film with improved crystallinity and adjusted composition is achieved via a new thermal treatment approach consisting of preliminary annealing of the Sb layer before its selenization. The findings of this work demonstrate enhanced charge carriers' transportation, a stable performance, and an improvement of H2 generation from ...
Magno B. Costa   +7 more
wiley   +1 more source

Flexibility and Dynamicity Enhances and Controls Supramolecular Self‐Assembly of Zinc(II) Metallogels

open access: yesAdvanced Functional Materials, EarlyView.
Zinc(II) coordination complexes with tunable aryloxy‐imine ligands exhibit controllable supramolecular self‐assembly into hierarchical fibrous structures. Coordination‐driven stacking, not π–π interactions, enables gelation, dynamic assembly/disassembly, and enhanced nanomechanical properties.
Merlin R. Stühler   +10 more
wiley   +1 more source

COMPARISON OF MISSING VALUE IMPUTATION USING MEAN, BAYESIAN KNN, AND NON-BAYESIAN KNN ON TEP GENE EXPRESSION DATA

open access: yesMedia Statistika
Analysis of gene expression data, particularly in cancer data, often faces challenges due to the presence of missing values. One approach to overcome this is data imputation.
Mastika Mastika   +2 more
doaj   +1 more source

Synergistic Osteogenesis After Co‐Administration of cmRNAs Encoding BMP‐2 and BMP‐7 Utilizing a Transcript‐Activated Matrix

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that the dual delivery of BMP‐2/‐7 coding cmRNAs for bone healing is demonstrated as feasible, safe, and highly osteogenic. Compared to single BMP‐2 or BMP‐7 cmRNAs, the combination enhances the production of both mineral and organic components of the extracellular matrix when delivered using a collagen‐HA scaffold, supporting ...
Claudia Del Toro Runzer   +7 more
wiley   +1 more source

Defect Analysis of the β– to γ–Ga2O3 Phase Transition

open access: yesAdvanced Functional Materials, EarlyView.
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas   +9 more
wiley   +1 more source

Modulating Electrochemical CO2 Reduction Pathways via Interfacial Electric Field

open access: yesAdvanced Functional Materials, EarlyView.
Engineering interfacial electric fields in Cu/ITO electrodes enables precise control of CO2 reduction pathways. Charge transfer from Cu to ITO generates positively charged Cu species that steer selectivity from ethylene toward methane. This work demonstrates how interfacial electric‐field modulation can direct reaction intermediates and transform ...
Mahdi Salehi   +7 more
wiley   +1 more source

Non-Gaussian Process Dynamical Models

open access: yesIEEE Open Journal of Signal Processing
Probabilistic dynamical models used in applications in tracking and prediction are typically assumed to be Gaussian noise driven motions since well-known inference algorithms can be applied to these models. However, in many real world examples deviations
Yaman Kindap, Simon Godsill
doaj   +1 more source

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