Supercapacitors are appealing energy storage devices for their promising features like high
power density, outstanding cycling stability, and a quick charge–discharge cycle. The …

The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

Porous carbons are the active materials of choice for supercapacitor applications because of
their power capability, long-term cycle stability, and wide operating temperatures. However …

In the past few decades, supercapacitors (SCs) have emerged as good and reliable energy
storage devices due to their impressive power density, better charge–discharge rates, and …

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 …

Herein, machine learning (ML) models using multiple linear regression (MLR), support
vector regression (SVR), random forest (RF) and artificial neural network (ANN) are …

Artificial intelligence and machine learning have become indispensable tools across various
disciplines in the present century. In that way, the role of artificial intelligence and machine …

Electrode materials play a critical role in the charge storage mechanism in supercapacitor
devices. Hence, predicting the performance, namely, the specific capacitance (C sp), rate …

This comprehensive review article examines the recent advancements in graphene-based
flexible supercapacitors for wearable electronics. With the increasing demand for wearable …

The functional properties of piezoelectric ceramics are vital to design materials for energy
harvesting applications. In the present study, to accelerate the design process with …