Conference Information
ICAIM 2026: International Conference on Artificial Intelligence & Materials
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Submission Date: |
2026-01-10 |
Notification Date: |
2026-02-28 |
Conference Date: |
2026-03-27 |
Location: |
Changsha, China |
Years: |
2 |
Viewed: 4393 Tracked: 0 Attend: 0
Call For Papers
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
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
Last updated by Dou Sun in 2026-02-15
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