AI for Material Science — International Symposium Track1

• Material discovery and process simulation by machine learning potential 2024.01.05
• Rational design of 2D nanomaterials for sustainable energy storage and conversion 2024.01.05
• Accelerated Computational Materials Design for Next­ Generation Batteries 2024.01.05
• Materials Genome Engineering Accelerates the Research and Development of Organic Optoelectronic ... 2024.01.05
• Materials informatics in industrial applications: from fundamentals to device design and monitoring 2024.01.05
• Advancing simulation and learning for complex energy materials From lattice model to CHGNet 2024.01.05
• Intelligent Design of Electron-rich Intermetallic Materials 2024.01.05
• A Few Key Scientific Issues for MGE 2024.01.05
• From AI and Robotics toward Generative Design of Materials 2024.01.05
• Multiscale simulations of phase-change memory materials 2024.01.05
• Integrated Platforms for Intelligent Synthesis, Characterization and N anofabrication 2024.01.05
• Data Quality Determines the Performance of Machine Learning Model for Materials 2024.01.05
• Microscopic Design of Electrode-Electrolyte Interface 2024.01.05
• Applications of crystal structure searching in the exploration of new Li-ion battery cathode mate... 2024.01.05
• Data-driven Inorganic Materials Discovery with High-throughput Solid State Synthesis 2024.01.05