Results 181 to 190 of about 123,558 (314)

COFs on MOFs: Layer‐by‐Layer Synthesis of MOF@COF Nanoparticles with Synergistic Adsorption

open access: yesAdvanced Materials, EarlyView.
A layer‐by‐layer strategy enables the growth of crystalline covalent organic framework (COF) shells on metal–organic framework nanoparticles, creating core–shell structures with tunable porosity. Ordered interstitial mesopores are formed during shell growth, which are connected with the COF's intrinsic micropores, thereby enhancing water sorption. This
Ana Guillem‐Navajas   +11 more
wiley   +1 more source

EEG Feature Extraction Using Evolutionary Algorithms for Brain-Computer Interface Development. [PDF]

open access: yesComput Intell Neurosci, 2022
Rocha-Herrera CA   +7 more
europepmc   +1 more source

Use of evolutionary algorithms to select filters for evoked potential enhancement

open access: yes
Evoked potentials are electrical signals produced by the nervous system in response to a stimulus. In general these signals are noisy with a low signal to noise ratio.
Turner, Scott
core  

Polymorph‐Specific Electronic Transduction in WO3 during Molecular Sensing

open access: yesAdvanced Materials, EarlyView.
Metal‐oxide polymorphs with similar surface chemistry can nevertheless exhibit distinct sensing properties. In γ‐ and ε‐WO3, analyte adsorption appears comparable; yet, only ε‐WO3 induces a pronounced lattice electronic perturbation that accommodates charge in sub‐conduction band minimum states.
Matteo D'Andria   +6 more
wiley   +1 more source

Identification of COVID-19 spread mechanisms based on first-wave data, simulation models, and evolutionary algorithms. [PDF]

open access: yesPLoS One, 2022
Stanovov V   +6 more
europepmc   +1 more source

An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search

open access: yes, 2011
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
Blackwell, Tim   +2 more
core  

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

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