Results 171 to 180 of about 114,035 (266)

Probabilistic carcinogenic and health risk assessment of heavy metals in lettuce and cabbage from Behbahan, Iran, using Monte Carlo simulation. [PDF]

Sci Rep
Armand R, Rafati L, Mohammadi H, Armand N.   +3 more
europepmc   +1 more source

Hierarchically engineered electrocatalysts for durable oxygen reduction in zinc–air batteries

AIChE Journal, EarlyView.
Abstract Rechargeable zinc–air batteries (ZABs) are promising energy storage systems but are limited by sluggish oxygen reduction reaction (ORR) kinetics at the air cathode. Herein, we report hierarchically engineered cobalt tetraaminophthalocyanine/MXene (CoPc/MXene) electrocatalysts prepared via cetyltrimethylammonium bromide‐mediated self‐assembly ...
Rui Guo, Houting Xie, Zhen Liu, Jiamin Lan, Bufeng Zhang, Omid Mazaheri, Shuaijun Pan   +6 more
wiley   +1 more source

Carcinogenic and non-carcinogenic risk assessment of elemental impurities and bioactive compounds in six wild mushrooms using Monte Carlo simulation. [PDF]

Sci Rep
Canbolat F, Acar İ, Okumuş E, Ayata F.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Monte Carlo simulation and unfolding of an extended Bonner sphere system for secondary neutron spectrometry in proton therapy facilities using conventional BSS experimental data. [PDF]

Front Oncol
Díaz-Comeche A, Oliver S, Juste B, Jardin D, Zakhary M, Mossahebi S, Mille MM, Lee C, Miró R, Verdú G, Morató S.   +10 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Stochastic analysis and Monte Carlo simulation of magneto-opto-acoustic wave propagation in nonlocal semiconductor excitation. [PDF]

Sci Rep
Elsakout DM, El-Dali A, Alaofi ZM.
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

A GEANT4 Monte Carlo simulation study for the computation of output factors and out-of-field dosimetry in breast IOERT. [PDF]

Sci Rep
Savatović S, Toscano L, Severgnini M, Longo F.   +3 more
europepmc   +1 more source