Advancement in Supercapacitors for IoT Applications by Using Machine Learning: Current Trends and Future Technology
Supercapacitors (SCs) are gaining attention for Internet of Things (IoT) devices because of
their impressive characteristics, including their high power and energy density, extended …
their impressive characteristics, including their high power and energy density, extended …
Optimization techniques for electrochemical devices for hydrogen production and energy storage applications
M Tawalbeh, A Farooq, R Martis… - International Journal of …, 2024 - Elsevier
With the rapidly evolving geo-political landscape and unceasing advancements in
technology, sustainable energy security is a very important topic. Research indicates that …
technology, sustainable energy security is a very important topic. Research indicates that …
Quantitative prediction model and prewarning system of water yield capacity (WYC) from coal seam roof based on deep learning and joint advanced detection
F Dong, H Yin, W Cheng, C Zhang, D Zhang, H Ding… - Energy, 2024 - Elsevier
As one of the most abundant fossil fuels in the world, the safe and efficient mining of coal
resources has greatly affects all fields of human production and life. Accurate prediction of …
resources has greatly affects all fields of human production and life. Accurate prediction of …
AI-based approach for predicting the storage performance of zinc oxide-based supercapacitor electrodes
This research aims to forecast the cyclic voltammetry characteristics of a zinc oxide (ZnO)
nanocomposite supercapacitor using the Random Forest Algorithm (RFA) and Artificial …
nanocomposite supercapacitor using the Random Forest Algorithm (RFA) and Artificial …
Design of NiCo2O4 nanoarray morphology for optimizing electrochemical stability of supercapacitor
Z Hui, N Gu, H Li, Z Shi, J Ren, Y Cao, Y Sun - Journal of Solid State …, 2024 - Springer
Here, the hierarchical NiCo2O4 nanoarray grown on Ni foam with various morphologies is
designed and synthesized for application in electrode of supercapacitor by a soft-template …
designed and synthesized for application in electrode of supercapacitor by a soft-template …
Design of battery shell stamping parameters for vehicles based on fusion of various artificial neural network models
N Liu, Y Gao, P Liu - Heliyon, 2024 - cell.com
The application of neural network model in engineering prediction is frequent. The BPE shell
material was optimized, and the reliability of the new material was verified by modal …
material was optimized, and the reliability of the new material was verified by modal …
Machine learning and data-driven material exploration for supercapacitors
S Wang, K Huang, C Lian, H Liu - Supercapacitors, 2024 - Elsevier
This chapter discusses the application of machine learning (ML) and data-driven materials
exploration in supercapacitors. Supercapacitors are a new type of energy storage device …
exploration in supercapacitors. Supercapacitors are a new type of energy storage device …