Details
Focus
This research focuses on the discovery, synthesis, and multiscale modeling of ferroelectric and dielectric materials. By connecting data-driven synthesis planning with nucleation kinetics and continuum-scale simulations, we aim to establish practical design rules for phase stabilization, polarization control, and reliable device operation.
Methods
- ML/LLM-Based Synthesis Planning: Extract literature-grounded knowledge and generate candidate materials, process conditions, and synthesis routes using machine-learning and multi-agent LLM frameworks.
- Nucleation Theory: Quantify the thermodynamic driving forces and kinetic barriers governing crystallization, polymorph selection, and metastable phase formation.
- FEM Modeling: Simulate coupled electrical, thermal, mechanical, and transport phenomena in thin films, multilayers, and device structures.
What we deliver
- Synthesis Pathway Recommendations: Evidence-grounded recommendations of candidate materials, synthesis routes, and process conditions for targeted ferroelectric and dielectric properties.
- Phase-Selection Maps: Condition-dependent maps linking composition, temperature, pressure, interfaces, and electric fields to stable and metastable phase formation.
- Device and Process Design Rules: Actionable guidelines for optimizing polarization, coercive field, dielectric response, reliability, and device scalability.
Related Papers
Related publications will be added as they become available.