A scalable kinetic Monte Carlo platform for charge transport dynamics in polymer-based memristive systems

Key Points

• The research aims to create an efficient modeling platform for ion transport in polymer-based systems.
• Developed a kinetic Monte Carlo platform for simulating charge transport dynamics.
• Utilized polymer materials for ion migration analysis.
• Evaluated performance in relation to energy storage and computing applications.
• The platform allows for scalable simulations of charge transport dynamics.
• Efficient modeling provides insights into the performance of polymer-based memristors.
• Supports advancements in both energy storage and neuromorphic computing.