Results 191 to 200 of about 39,156 (266)

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

Dynamic Graph Convolutional Network with Dilated Convolution for Epilepsy Seizure Detection. [PDF]

Bioengineering (Basel)
Zhang X, Dai C, Guo Y.
europepmc   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

Multi-wavelength graph convolutional network for high-performance sparse multispectral optoacoustic tomography. [PDF]

Photoacoustics
Lu M, Wang J, Peng J, Li B, Liu X.
europepmc   +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

MVSGDR: multi-view stacked graph convolutional network for drug repositioning. [PDF]

Brief Bioinform
Gu G, Wu H, Han H, Lin Z, Sun Y, Xie G, Su Q, Liu Z.   +7 more
europepmc   +1 more source

Experimental methods in chemical engineering: Cyclic voltammetry—CV

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Cyclic voltammetry (CV) is a foundational electroanalytical technique for investigating redox behaviour and evaluating material performance across fields such as molecular electrochemistry, electrocatalysis, sensing, and energy storage. Despite its widespread use, a gap remains between formal electrochemical theory and the practical data ...
Yasser Matos‐Peralta, Christopher Panaritis, JoElen Hagler, Clara Santato, Gregory S. Patience   +4 more
wiley   +1 more source

PF-AGCN: an adaptive graph convolutional network for protein-protein interaction-based function prediction. [PDF]

Bioinformatics
Yang S, Su Y, Lin Y, Lin Q, Chen Z.
europepmc   +1 more source

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source

A multi-domain graph convolutional network-based prediction model for personalized motor imagery action. [PDF]

Front Neurosci
Ge J, Wang J, Zheng X, Li M, Wang F, Xu G.   +5 more
europepmc   +1 more source