Results 161 to 170 of about 23,480 (227)

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Optimizing feature selection with random reversal and adaptive Gaussian based Dung beetle optimizer for intrusion detection system in IoT. [PDF]

Sci Rep
Vurubindi P, Frnda J, Sujatha CN, Divakarachari PB, Nijaguna GS, Mahendar A.   +5 more
europepmc   +1 more source

Synthesis, characterization, and performance of x_MoO3/Z‐22 and x_MoO3/MMP catalysts for biodiesel production

The Canadian Journal of Chemical Engineering, EarlyView.
Methyl transesterification of soybean oil using heterogeneous catalysts for biodiesel production. Abstract The growing global demand for renewable fuels has driven the search for efficient catalysts in biodiesel production. This study presents the synthesis and characterization of x_MoO3/Z‐22 and x_MoO3/MMP heterogeneous catalysts, and evaluates the ...
André Miranda da Silva, Vitória de Andrade Freire, José Jailson Nicácio Alves, Romualdo Rodrigues Menezes, Bianca Viana de Sousa Barbosa   +4 more
wiley   +1 more source

On Polynomial Recursive Sequences. [PDF]

Theory Comput Syst
Cadilhac M, Mazowiecki F, Paperman C, Pilipczuk M, Sénizergues G.   +4 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Determining the areas most suitable for urban land use while minimizing impact on natural areas. The case of the Machachi Valley, Ecuador. [PDF]

Heliyon
Ulloa-Espindola R, Martín-Fernández S.
europepmc   +1 more source

The Evolution of Environmental, Social, and Governance (ESG) and Risk and Its Implications for Sustainable Finance: A Systematic Literature Review

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Recent literature addressing ESG and risk has increased by 70% since mid‐2022, reflecting a growing interest in sustainable finance. Guided by the PRISMA flow diagram, this paper employs a hybrid systematic review methodology, combining bibliometric analysis with content analysis, to provide a comprehensive overview of the evolution of ESG and
Fahad Asmi, Alain Neher, Alfred Wong
wiley   +1 more source

Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges. [PDF]

Nat Commun
Ye Y, Pandey A, Bawden C, Sumsuzzman DM, Rajput R, Shoukat A, Singer BH, Moghadas SM, Galvani AP.   +8 more
europepmc   +1 more source