Results 141 to 150 of about 69,755 (267)

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

Fine grain emotion analysis in Spanish using linguistic features and transformers. [PDF]

open access: yesPeerJ Comput Sci
Salmerón-Ríos A   +3 more
europepmc   +1 more source

ERMrest: A Collaborative Data Catalog with Fine Grain Access Control. [PDF]

open access: yesProc IEEE Int Conf Escience, 2017
Czajkowski K, Kesselman C, Schuler R.
europepmc   +1 more source

Single‐Chromophore Homojunction Organic Solar Cells: A Path to Simplicity and Efficiency

open access: yesAdvanced Materials, EarlyView.
This perspective discusses how the intrinsic optoelectronic properties of organic semiconductors, their molecular packing in the solid‐state, and internal energetic gradients within a device can enable free‐charge carrier generation in homojunction organic solar cells.
Shaun McAnally   +2 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Fine-grained Algorithms and Complexity.

open access: yes, 2018
A central goal of algorithmic research is to determine how fast computational problems can be solved in the worst case. Theorems from complexity theory state that there are problems that, on inputs of size n, can be solved in t(n) time but not in O(t(n)^{1-epsilon}) time for epsilon>0.
openaire   +3 more sources

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