The National Conference on AI and ML-Driven Recent Advances in Condensed Matter and High Energy Physics (CMHEP-2026) is set to be a key convergence point for researchers, academicians, and professionals across India.
The conference aims to address the transformative avenues that the integration of Artificial Intelligence (AI) and Machine Learning (ML) has opened for data analysis, simulation, and theoretical modeling in fundamental physics research.
l Goal: To exchange insights on emerging developments in Condensed Matter and High Energy Physics.
l Platform: An interdisciplinary forum to discuss recent trends, innovations, and challenges.
l Opportunity: Facilitating collaboration among physicists, data scientists, and engineers working on cutting-edge problems in computational modeling.
Through keynote lectures, invited talks, and presentation sessions, CMHEP-2026 seeks to promote the exchange of scientific ideas and inspire cutting-edge research directions connecting fundamental physics with computational intelligence.
Key Themes & Topics
l Artificial Intelligence and Machine Learning: Quantum computing, Data analysis, and Simulation.
l Strongly Correlated Electron Systems: Quantum many-body systems, Topological Phases of Matter, Disordered systems, Magnetism, and Superconductivity.
l Nano Materials, Functional Materials & Renewable Energy: Liquid Crystals, Sustainable and Renewable energy (Production, Storage, and Applications).
l Quantum Chromodynamics (QCD) Phase of Matter: Heavy Ion Collisions, Quark Gluon Plasma, and Physics at the Large Hadron Collider (LHC).
- Neutrino and Dark Matter Physics: Astrophysics, Astronomy, Cosmology, and the search for Dark Matter and Neutrinos
