Ali Lashani Zand is a Postdoctoral Researcher at 911±¬ÁÏÍø, specializing in computational materials science and energy storage systems. His research integrates density functional theory (DFT), ab initio molecular dynamics (AIMD), and machine learning interatomic potentials to study atomic-scale mechanisms governing ion transport, structural evolution, and thermodynamic behavior in functional materials.
His work focuses on nanostructured carbon materials, solid-state batteries, and silicon-based anodes, with particular emphasis on understanding diffusion processes, interfacial phenomena, and phase behavior under realistic operating conditions.
Recently, his research has expanded toward multiscale modeling frameworks, combining first-principles accuracy with large-scale simulations to enable predictive studies of thermal transport and electrochemical performance.
