Symposium 1：High-throughput Materials Computation and Design

• S3-01 Designing Electrochemical Energy Storage Materials Through Combining High-throughput Calcul... 2021.12.22
• S3-02 TBworks: 机器学习第一性原理分子动力学电子结构 2021.12.22
• S3-03 High-throughput first-principles study on the micromechanics of strong solid materials 2021.12.22
• S3-04 铝合金高通量多尺度模拟与性能优化 2021.12.22
• S3-05 基于材料基因工程的可降解镁合金设计与器械开发 2021.12.22
• S3-06 Development of AI-assisted computational platform for accelerating design and discovery of ... 2021.12.22
• S3-07 Workflow for modeling of variable composition in multicomponent alloys: from high-throughpu... 2021.12.22
• S3-08 Computational Design of Two-dimensional Magnetic Materials 2021.12.22
• S3-09 高通量计算和深度学习在多孔材料吸附甲烷研究中的应用 2021.12.22
• S3-10 尿素电化学合成机理探索与催化剂设计 2021.12.22
• S3-11 Multi-scale simulation method to explore the relationship between structure and activity of... 2021.12.22
• S3-12 Highly efficient, economic, and stable Single-atom Catalyst design: First principles Calcul... 2021.12.22
• S3-13 MatCloud+: High-throughput Multiscale Materials Simulation and Machine Leaning on Cloud 2021.12.22
• S3-14 Analysis of high-throughput materials data by means of computation and simulation 2021.12.22
• S3-15 材料基因工程指导下的三维相变存储器材料设计 2021.12.22
• S3-16 Double Perovskite Oxides 2021.12.22