Materials Big Data and Intelligent Technologies Symposium

• A data-driven intelligent research and development system for ceramic materials 2024.01.03
• AI科学计算业界趋势及MindSpore实践 2024.01.03
• High-performance alloy design driven by a combination of computational thermodynamics/kinetics an... 2024.01.03
• Enhancing prediction of alloys property using pre-trained model 2024.01.03
• Composition optimization of nickel-based superalloys with y'-ry" precipitation phases and ML mod... 2024.01.03
• Artificial Intelligence Design of Lithium Battery Electrolytes 2024.01.03
• Machine learning-aided design for energy materials and devices 2024.01.03
• Data-driven prediction and optimization of emerging photovoltaic materials 2024.01.03
• Application of the Noble Metal Materials Genome Engineering Database in the Integrated Design of ... 2024.01.03
• Large-scale Materials Generation Model on Supercomputer: Methods, Principles, and Applications 2024.01.03
• Exploring the application of natural language processing in materials 2024.01.03
• Atomic Potential for Magnetic Materials 2024.01.03
• Predicting the Stress-Strain Behavior Using Deep Learning Based on Crystal Plasticity Theory 2024.01.03
• Application of Small Sample Machine Learning in Materials Design 2024.01.03
• Development of Materials Model for Aluminum Castings Considering Microstructure Inhomogeneity 2024.01.03
• Data-driven Rational Design of High-performance Poly(aryl ether)s 2024.01.03