Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
In the rapidly evolving landscape of electrochemical energy storage (EES), the advent of
artificial intelligence (AI) has emerged as a keystone for innovation in material design …
artificial intelligence (AI) has emerged as a keystone for innovation in material design …
Fabrication of an asymmetric supercapacitor using a novel electrode design and introduce a robust machine learning model for its performance evaluation
S Mahmoudi-Qashqay, MR Zamani-Meymian… - Journal of Power …, 2024 - Elsevier
Attaining high performance supercapacitors requires comprehensive investigations into
electrode and electrolyte properties, along with the recognition of operational parameters …
electrode and electrolyte properties, along with the recognition of operational parameters …
Asymmetric capacitive deionization based on pore structures of biochar
Y Li, C Wang, D Deng, Y Qiao, G Yao, Y Wang - Desalination, 2024 - Elsevier
Biochar is an affordable and sustainable material for the application of capacitive
deionization. Although the desalination capability of biochar is significantly impacted by its …
deionization. Although the desalination capability of biochar is significantly impacted by its …
Research on specific capacitance prediction of biomass carbon-based supercapacitors based on machine learning
C Zhao, X Lu, H Tu, Y Yang, S Wang, A Chen… - Journal of Energy …, 2024 - Elsevier
With the development of computer technology, a variety of machine learning models have
been used to predict the electrochemical performance of energy storage devices. In this …
been used to predict the electrochemical performance of energy storage devices. In this …
Neural Network Models for Estimating the Impact of Physicochemical and Operational Parameters on the Specific Capacity of Activated-Carbon-Based …
An artificial neural network (ANN) model is developed in this study to predict and analyze
the specific capacitance of activated-carbon-based supercapacitors by utilizing a 12 …
the specific capacitance of activated-carbon-based supercapacitors by utilizing a 12 …
Modeling specific capacitance of carbon nanotube-based supercapacitor electrodes by machine learning algorithms
Carbon nanotubes (CNTs) have emerged as promising materials for supercapacitors (SCs)
due to their unique properties and exceptional electrical conductivity. These cylindrical …
due to their unique properties and exceptional electrical conductivity. These cylindrical …