Symposium 4：Materials Database and Big Data Technologies

• 4-1. Big data technologies and database for materials genome engineering 2019.03.20
• 4-2. Building the corrosion data base of material in vietnam 2019.03.20
• 4-3. 2D matpedia: A library of 2D materials and some applications 2019.03.20
• 4-4. Discovery of new polymers using machine learning models and a Bayesian molecular design algo... 2019.03.20
• 4-5. Machine learning approach for the prediction of microstructure-property relationships in Ti ... 2019.03.20
• 4-6. Starrydata: a plot-mined database for published experimental data 2019.03.20
• 4-7. XenonPy: a machine learning platform for accelerating materials design 2019.03.20
• 4-8. Machine learning and big data towards ultra-high temperature 2019.03.20
• 4-9. Development and application of new Co-base superalloy integrated design system 2019.03.20
• 4-10. Tensile properties prediction for reduced activation steel based on feature engineering 2019.03.20
• 4-11. Atomic mobility database for titanium alloys and its application in β/α phase transformation 2019.03.20
• 4-12. Materials intelligent design: software, databases and case studies 2019.03.20
• 4-13. Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-... 2019.03.20
• 4-14. Composition design of high strength ODS alloy based on machine learning 2019.03.20
• 4-15. Prediction of the microstructural evolution and mechanical properties of mg alloys based on... 2019.03.20
• 4-16. Procedure for building a standard specific dataset based on materials genome database 2019.03.20
• 4-17. Program of CSTM standards for materials genome engineering data 2019.03.20
• 4-18. AIMS – A database system of physical properties of molecular liquids built by combining ar... 2019.03.20
• 4-19. High-throughput materials data collection and database fusion techniques and applications 2019.03.20
• 4-20. Data standards and database construction in the eco-system of materials data 2019.03.20
• 4-21. Development of MGI database of high-temperature permanent magnetic alloy systems and its ap... 2019.03.20
• 4-22．Platform construction for materials data collection and management 2019.03.20
• 4-23. Microstructural recognition and quantitative analysis of steel based on computer vision 2019.03.20
• 4-24. Data augmentation in microscopic images for material data mining 2019.03.20
• 4-25. Convolutional networks for ceramics matrix composite XCT Slices segmentation and reconstruc... 2019.03.20