Consultation Overview
AI/ML for Materials & Process Optimization
Development of machine learning models to accelerate materials discovery and optimize industrial processes using structured and experimental data. Use cases: Property prediction using surrogate models. Process parameter optimization (steel, polymers, energy systems). Predictive modeling using tools like pymatgen and matminer
Service Details
What's Included
- Video consultation
- Personalized guidance and advice
- Session notes and recommendations
- Follow-up support via email
Pricing Options
- Single Session ₹500
- Full Project ₹3,000
About Abhishek Pandey
Materials Scientist with a PhD from IIT Bombay and experience in teaching and research at NIT Raipur and Bharat Institute. Expertise in multiphysics simulation (COMSOL), materials characterization (SEM, XRD, Raman, BET), and advanced materials such as graphene. I focus on delivering concept-driven teaching, integrating simulation tools, and guiding students in industry-relevant projects and research.
Experience
Computational Simulation
Specialized expertise in computational simulation with 2 years of professional experience.