Results 191 to 200 of about 656,169 (307)

Dual Charge Transfer Mechanisms in Intimately Bonded S‐scheme Heterojunction Photocatalyst with Expeditious Activity toward Environmental Remediation

open access: yesAdvanced Sustainable Systems, EarlyView.
A novel MBOdCN S‐scheme heterojunction photocatalyst is fabricated using pristine Mg‐Bi2O3 and grayish g‐C3N4, where dynamic dual charge migration paths occur to accelerate exciton dissociation. This composite catalyst realizes high degradation efficiency of up to 99.56% of oxytetracycline (OTC) removal under optimized conditions. The material exhibits
Potlako J. Mafa   +11 more
wiley   +1 more source

Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion

open access: yesAdvanced Sustainable Systems, EarlyView.
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar   +2 more
wiley   +1 more source

Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms. [PDF]

open access: yesVet Med Sci
Önder H   +9 more
europepmc   +1 more source

An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques

open access: yesAdvanced Theory and Simulations, EarlyView.
Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira   +3 more
wiley   +1 more source

SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes

open access: yesAdvanced Theory and Simulations, EarlyView.
The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
wiley   +1 more source

Insights into AI and facial ageing. [PDF]

open access: yesJ Eur Acad Dermatol Venereol
Griffiths TW.
europepmc   +1 more source

Wave Propagation Approaches for Design Optimization of Asymmetric Double‐Layer Gold Gratings: Logic‐ and Learning‐Based Perspectives

open access: yesAdvanced Theory and Simulations, EarlyView.
This study presents a wave propagation‐based optimization strategy for asymmetric double‐layer Au gratings to improve infrared polarization selectivity. A logic‐based method efficiently determines single‐wavelength structures through analytical modeling, while a learning‐based approach utilizing an explainable neural network enables broadband ...
Ryuna Kang   +4 more
wiley   +1 more source

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