In battery development, experimental testing can tell us about macroscopic polarization and rate performance; however, how ions move within the membrane pores/interfaces often requires molecular dynamics (MD) to "see and explain."

In battery membrane research, MD primarily undertakes three core tasks:

1. Visualizing transport paths: Visualizing the abstract "ion channels," intuitively showing whether ions creep along polymer chains or diffuse freely in water-filled channels.

2. Quantifying selectivity mechanisms: Calculating the migration rate and flux ratio of different ions in the membrane through non-equilibrium (NEMD) simulations of applied external fields, directly quantifying membrane selectivity.

3. Analyzing solvation effects: Accurately calculating the coordination number of ions, revealing the energy cost of "desolvation" or "water-carrying migration."

In battery research, the construction of coatings, such as artificial solid electrolyte interfaces (ASEI) or porous framework coatings on electrode surfaces, is a popular research topic.

To thoroughly explain the mechanism of action of coatings in an article, molecular dynamics (MD) simulations are an indispensable tool. It is worth noting that the focus of MD calculations differs depending on the pore size. This article, based on five high-level papers, extracts the MD calculations of coatings into two core physical dimensions according to the material's pore size:

● Microporous systems (pore size < 1 nm): Focusing on desolvation barriers and the "dynamic shuttle" of ions within the coating.

● Mesoporous and hierarchical pore systems (pore size > 2 nm): Focusing on local solvation structures, long-range diffusion behavior, and the synergistic effect of hierarchical channels.

The 2025 Nobel Prize in Chemistry was awarded to MOFs, bringing greater attention to framework materials like MOFs and COFs. What theoretical calculations can be performed on MOF/COF materials?

For many materials science articles to be published in top journals, performance results alone are no longer sufficient. This is especially true when working on membrane and interface materials; explaining the mechanisms through theoretical calculations has become an almost indispensable step. Experiments can tell you that "the results have improved," but if you want to further explain "why they have improved, what the structural changes have actually brought about, and whether this mechanism is credible," you often need to rely on theoretical calculations to complete the logical chain.