The International Conference on Artificial Intelligence and Materials (ICAIM) committed to the deep integration and common enhancement in materials science, artificial intelligence (AI) technology. 

Topics of interest for submission include:

Artificial Intelligence

Adaptive Systems 
Fuzzy Logic
Data Mining 
Machine Learning 
Deep Learning 
Inductive Learning 
Intelligent and Knowledge Based System 
Natural Language Processing 
Signal Processing 
Computer Vision 
Virtual Reality 
Augmented Reality 
Hybrid and Nonlinear system
 Intelligent Control 
Bioinformatics 
Pattern Recognition 
Knowledge Discovery 
Intelligent Data Analysis 
Neural Networks 
Genetic Algorithms 
Medical Diagnostics S
upport Vector Machines 
Machine Vision 
Intelligent Systems and Language

Materials

Nanomedical materials 
Regenerative biomaterials 
Materials with engineered interfaces 
Self-assembled materials 
Materials with selective mechanical and functional properties 
Materials for soft and hard tissue reconstruction and regeneration 
3D/4D printing for bioactive materials Hydrogen Energy Materials 
Biomass Energy Materials 
Geothermal Energy Materials 
Nuclear Materials 
Environmental Friendly Materials Electrolyte Materials 
Photovoltaic Materials 
Semiconductors and Semiconductor Devices 
Superconductors and Superconducting Materials 
Advanced manufacturing materials Catalyst Materials
Light Emitting Materials 
Acoustic Materials 
Structured Materials

AI & Materials

Biomaterials modeling, design, and AI applications 
AI for materials science 
Digital twin technology with AI for materials industry 
Modelling techniques for manufacturing processes and systems boosted with AI Materials theory assisted by AI technology 
Novel AI lgorithms that have potential applications to materials 
AI in Materials Informatics and Data-Driven Research 
AI for Sustainable Materials Development 
AI for Predicting Material Failure and Durability 
AI-Enhanced Materials for Energy Applications 
AI in Advanced Manufacturing and Materials Processing 
Machine Learning for Computational Materials Science 
AI-Driven Materials Discovery and Design