2026 International Conference on Condensed Matter Physics and Artificial Intelligence (CMPAI 2026)

The 2026 International Conference on Condensed Matter Physics and Artificial Intelligencewill bring together leading researchers, engineers, and scientists from around the world in the fields of condensed matter physics and artificial intelligence to explore cutting-edge interdisciplinary innovations and applications.

Topics of interest for submission include, but are not limited to:

01. AI in Superconductivity and Magnetism

Design and optimization of superconducting materials
Prediction of magnetic properties and new phases
AI-assisted study of superconducting and magnetic mechanisms
Machine learning applications in magnetic quantum materials
Intelligent experimental data processing and analysis
Smart control for superconducting devices

02. AI in Low-dimensional and Topological Physics

Identification and classification of topological materials
Electronic state analysis in low-dimensional systems
Topological quantum computing and information processing
Dynamics simulations of low-dimensional heterostructures
Detection of topological phases and experimental data analysis

03. AI in Non-equilibrium and Statistical Physics

Simulations of non-equilibrium dynamics and phase transitions
Modeling of many-body system dynamics
Analysis of thermal transport and energy conversion
Theoretical modeling of non-equilibrium systems
Deep learning in complex dissipative systems
Integration of intelligent simulations with experimental data

04. Intelligent Methods in Computational and Materials Physics

AI-assisted electronic structure calculations
Multiscale materials simulations with machine learning
High-throughput materials screening and design
Analysis of defects and interfaces in electronic structures
Machine-learned potentials and accelerated simulations
AI research in energy materials

Call For Papers

01. AI in Superconductivity and Magnetism

02. AI in Low-dimensional and Topological Physics

03. AI in Non-equilibrium and Statistical Physics

04. Intelligent Methods in Computational and Materials Physics