Symposium C: MGE Technologies and Industrial Application (Emerging Industry）

• Developing Novel Optoelectronic Functional Materials by High-Throughput Engineering 2025.01.09
• DFT and machine learning drive the design of high-capacity anode materials 2024.11.26
• Exploration and innovation of data-driven machine learning in the development of hydrocracking c... 2024.11.26
• Exploration of material genes and structural chemistry in Li-ion batteries 2024.11.26
• Metal halide perovskite semiconductors optoelectronics and their machine learning 2024.11.26
• Research on design and its mechanical/corrosion properties of magnesium alloy with high strength... 2024.11.26
• Physical Science Research Driven by Large Models 2024.11.26
• Artiffcial Intelligence Enabled Smart Design and Manufacturing of Advanced Materials: The Endles... 2024.11.26
• Machine learning-assisted molecular structure design of polymers 2024.11.26
• A Large Multi-Modality Model for Chemistry and Materials Science 2024.11.26
• Virtual Inhibitor discovery based on reffned understanding 2024.11.26
• Inffuence of impurity atoms on the diffusivity and spatial evolution of vacancy in aluminum alloys 2024.11.26
• Design and Research of Novel High Ionic Conductivity and High-Stability Solid-State Electrolytes 2024.11.26
• Intelligent Design: An Innovative Paradigm for Research in Catalytic Materials 2024.11.26
• Advancing Green and Efffcient Synthetic Ammonia Catalytic Technologies through Artiffcial Intell... 2024.11.26
• Digital Research and Application Technology of Aluminum Processing 2024.11.26
• AI+ automated intelligent laboratory empowering the design and development of advanced materials 2024.11.26
• The Application of “AI+MGE” Technology in New Materials Research and Development 2024.11.26
• Intelligent R&D of Battery Design Automation (BDA) in the Era of AI for Science 2024.11.26