eReaxFF force field development for BaZr0.8Y0.2O3-δ solid oxide electrolysis cells applications

Md Jamil Hossain, Prashik Gaikwad, Yun Kyung Shin, Jessica A. Schulze, Katheryn A. Penrod, Meng Li, Yuxiao Lin, Gorakh Pawar, Adri C.T. van Duin

Research output: Contribution to journalArticlepeer-review

Abstract

The use of solid-oxide materials in electrocatalysis applications, especially in hydrogen-evolution reactions, is promising. However, further improvements are warranted to overcome the fundamental bottlenecks to enhancing the performance of solid-oxide electrolysis cells (SOECs), which is directly linked to the more-refined fundamental understanding of complex physical and chemical phenomena and mass exchanges that take place at the surfaces and in the bulk of electrocatalysis materials. Here, we developed an eReaxFF force field for barium zirconate doped with 20 mol% of yttrium, BaZr0.8Y0.2O3-δ (BZY20) to enable a systematic, large-length-scale, and longer-timescale atomistic simulation of solid-oxide electrocatalysis for hydrogen generation. All parameters for the eReaxFF were optimized to reproduce quantum-mechanical (QM) calculations on relevant condensed phase and cluster systems describing oxygen vacancies, vacancy migrations, electron localization, water adsorption, water splitting, and hydrogen generation on the surfaces of the BZY20 solid oxide. Using the developed force field, we performed both zero-voltage (excess electrons absent) and non-zero-voltage (excess electrons present) molecular dynamics simulations to observe water adsorption, water splitting, proton migration, oxygen-vacancy migrations, and eventual hydrogen-production reactions. Based on investigations offered in the present study, we conclude that the eReaxFF force field-based approach can enable computationally efficient simulations for electron conductivity, electron leakage, and other non-zero-voltage effects on the solid oxide materials using the explicit-electron concept. Moreover, we demonstrate how the eReaxFF force field-based atomistic-simulation approach can enhance our understanding of processes in SOEC applications and potentially other renewable-energy applications.

Original languageEnglish (US)
Article number136
Journalnpj Computational Materials
Volume10
Issue number1
DOIs
StatePublished - Dec 2024

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • General Materials Science
  • Mechanics of Materials
  • Computer Science Applications

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