# Combined Experimental, DFT, and MD Investigation Toward the Rational Design of Desert Planting Substrates

## TL;DR

This study combines experiments and simulations to understand how different hydrogels retain water in desert soils, guiding better material design for arid land restoration.

## Contribution

The paper introduces a structure-property framework linking molecular design to macroscopic performance in water-retaining hydrogels for desert substrates.

## Key findings

- PAA shows higher water absorption and stability under cycling compared to PAM.
- PAM has higher zero-shear viscosity and shear-thinning behavior due to its hydration dynamics.
- DFT and MD simulations reveal how molecular structures influence hydration and macroscopic properties.

## Abstract

Soil moisture regulation is critical for vegetation restoration in arid ecosystems. Polymeric hydrogels, notably polyacrylic acid (PAA) and polyacrylamide (PAM), are widely employed as water-retaining agents to enhance soil water availability. However, the coupling between their distinct chemical structures and key performance metrics, particularly cycling stability and water retention kinetics in desert substrates, remains unclear. In this work, we present an integrated experimental–computational study to establish a “molecular structure–interfacial behavior–macroscopic property” framework for PAA and PAM. The results show that PAA exhibits a higher equilibrium water absorption (WAC ~242 g/g) and more stable water uptake capacity under cycling, whereas PAM displays much higher zero-shear viscosity and pronounced shear thinning with a yield plateau (~30 Pa). DFT and MD simulations trace these macroscopic disparities to their distinct electronic structures and hydration dynamics. Specifically, PAA’s strong electrostatic interactions and extended chain conformations promote a more rigid and ordered hydration shell, whereas PAM adopts a compact structure with greater chain mobility, resulting in a less ordered hydration layer. Collectively, these findings provide a structure-property framework for the scientifically grounded selection of water-retaining agents. The integrated experimental–computational methodology presented herein establishes a predictive framework for the rational design of functional materials in arid land restoration.