AI RESEARCH TEAM
AI-Driven Solid-State Battery Research
We develop AI-powered solutions to accelerate the discovery of next-generation solid-state battery materials by combining Machine Learning Inter Atomic Potential with physics-based simulations
RESEARCH DOMAINS
Active Research Areas
Indian Matter
Materials for a better future
Objective
Indian Matter is an integrated AI-powered platform for computational materials research, combining intelligent material screening, property prediction, surrogate AI models and CIF generation to streamline material discovery. Followed by evaluation and validation for scientific and engineering applications.
Property Prediction ModelsCIF GenerationScreening Pipeline
Status:Ongoing
ML-Accelerated Discovery of High-Performance LLZO doped compounds
Objective
Develop AI-guided doped LLZO solid electrolytes by identifying optimal dopant elements and concentrations to achieve higher ionic conductivity than the base compound by In-house curated end to end pipeline.
LLZO Dopant Discovery PipelineMolecular Dynamics
Status:Ongoing
Ready to accelerate your Solid-State Battery R&D?Contact Team