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Updated: Nov 21, 2025

Predicting Catalyst Extrudate Breakage Based on the Modulus of Rupture
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Atomistic-scale insight into the polyethylene electrical breakdown: An eReaxFF molecular dynamics study.

Dooman Akbarian1, Karthik Ganeshan1, W H Hunter Woodward2

  • 1Department of Mechanical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, USA.

The Journal of Chemical Physics
|January 15, 2021
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Summary
This summary is machine-generated.

Molecular dynamics simulations reveal that increased polyethylene density enhances dielectric breakdown time. However, by-products like acetophenone can decrease this time, with radical anions significantly lowering energy barriers during electrical breakdown.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Electrical Engineering

Background:

  • Cross-linked polyethylene (XLPE) is a key insulator in high-voltage power cables, valued for thermal stability, moisture resistance, and durability.
  • The atomistic-level influence of XLPE by-products and amorphous regions on dielectric breakdown remains poorly understood.

Purpose of the Study:

  • To investigate the impact of XLPE by-products and processing variables on time to dielectric breakdown (TDDB) using molecular dynamics.
  • To elucidate the role of density and voids in polyethylene's dielectric performance at the atomic scale.

Main Methods:

  • Development of an eReaxFF-based molecular dynamics framework with explicit electron description.
  • Validation of simulation data against density functional theory (DFT) calculations.
  • Simulation of polyethylene (PE) under varying density and by-product concentrations.

Main Results:

  • Higher PE density correlates with increased TDDB.
  • By-products with positive electron affinity, such as acetophenone, reduce TDDB.
  • Electrons preferentially migrate through voids during breakdown.
  • Acetophenone radical anion significantly lowers energy barriers for secondary reactions compared to neutral acetophenone.

Conclusions:

  • Processing variables and by-products critically influence XLPE's dielectric breakdown time.
  • Understanding these factors at the atomistic level is crucial for designing more reliable high-voltage insulators.
  • The study provides a computational framework for predicting and optimizing XLPE performance.