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Transition metal chalcogenides (TMCs) have attracted a lot of scientific research interests due to their extraordinary properties. Several studies indicate that TMCs are suitable candidates for electrocatalytic processes, energy storage, and optoelectronic device applications. The concept of integrating carbon into TMCs with other materials and devices can lead to improved performance and enable innovative applications in different areas, while, simultaneously unlocking new functionalities. As a result of the increasing global need for energy production, which requires advanced solutions, the quest for high-performance energy storage systems with enhanced electrical conductivity, optical properties, and electrochemical stability has gained research interest over the years. This review focuses on recent advances in carbon-based TMCs for wearable sensors, energy storage, and photodetector applications. It also highlights the extension of deep learning techniques towards the investigation of processes whereby carbon materials can be integrated with TMCs. The present review explores the latest advancements in carbon-based transition metal chalcogenides and their applications. The study provides a fundamental understanding of the theoretical tools and methods that can be implemented towards optimizing material performance of carbon-based TMCs while at the same time investigating avenues for new applications and enhanced sustainable energy storage methodologies.
Ahia et al. (Wed,) studied this question.