Energy Landscape-Guided Virtual Screening of Side-Chain Engineering in Polymer Dynamics Design

Area of Science:

• Polymer Science
• Materials Science
• Computational Chemistry

Background:

• Side-chain engineering is crucial for controlling graft polymer properties like chain mobility and thermal stability.
• Predicting the influence of different side-chain types on chain mobility remains challenging, especially for structurally similar groups.

Purpose of the Study:

• To develop an efficient computational strategy for predicting graft polymer chain mobility and thermal stability.
• To investigate the effect of similar side-chain types (HEMA, MMA, VAC) grafted onto polypropylene (PP) on their chain mobility and potential energy landscape.

Main Methods:

• Utilized molecular dynamics simulations and energy landscape theory.
• Introduced a three-stage virtual pipeline for sequential screening of graft chain mobility.
• Analyzed atom displacement, potential energy landscape (PEL) roughness, and chain activation energy.

Main Results:

• Graft systems showed subtle distinctions in chain mobility due to structural similarity.
• A stability and roughness rank was established: VAC ≥ MMA > HEMA > PP.
• Side chains were found to enhance PEL roughness by wrinkling the landscape, counterbalancing energy barriers.

Conclusions:

• The three-stage screening pipeline offers an efficient, stepwise approach to evaluate graft polymer thermal stability with increasing precision.
• This method moves from local roughness inspection to ergodic analysis for comprehensive evaluation.
• The findings provide insights into structure-property relationships for graft polymers.