Scaling analysis of electrochemical energy storage systems

Why is electrochemical energy storage important?

Abstract: With the increasing maturity of large-scale new energy power generation and the shortage of energy storage resources brought about by the increase in the penetration rate of new energy in the future, the development of electrochemical energy storage technology and the construction of demonstration applications are imminent.

Is adsorption-energy scaling a bottleneck for OER electrocatalysis?

Overall, due to the sluggish reaction kinetics, the OER has long been the bottleneck for the electrochemical energy conversion and storage devices. This paper comprehensively reviewed the benchmark catalytic descriptors for OER electrocatalysis under the adsorption-energy scaling relationship among oxygen-containing intermediates.

Do adsorption energy scaling relations affect OER catalyst kinetics?

The adsorption energy scaling relations between the reaction intermediates, however, impose a large intrinsic overpotential and sluggish reaction kinetics on OER catalysts. Developing advanced electrocatalysts with high activity and stability based on non-noble metal materials is still a grand challenge.

What are the challenges in advancing AI for electrochemical energy storage?

The review identifies key challenges in advancing AI for electrochemical energy storage: data shortages, cyberinfrastructure limitations, data privacy issues, intellectual property obstacles, and ethical complexities.

Can Ai be used in electrochemical energy storage?

As a whole, the systematic review conducted in this paper offers not only the current state-of-the-art AI for science in electrochemical energy storage but also charts a path forward for research toward a multiscale systems innovation in transportation electrification. No data were used for the research described in the article.

Can foundation models be used in battery and electrochemical energy storage technologies?

Another promising application of foundation models in battery and electrochemical energy storage technologies is predictive maintenance and life-cycle analysis.