Symposium 1：High-throughput Materials Computation and Design

• 1-2. Artificial intelligence methods for discovering novel materials and exotic compounds 2021.03.18
• 1-1. Individual phases as materials genome and beyond 2020.03.18
• 1-3. High-throughput materials computation and design: Key challenges for structural materials 2020.03.18
• 1-4. Exploring new compounds and alloys using high-throughput ab initio computation 2020.03.18
• 1-5. Introduction of materials modelling into processing simulation – the past, the present and ... 2020.03.18
• 1-6. Novel high-pressure materials prediction using high-throughput DFT calculations 2020.03.18
• 1-7. Simulation in Manufacturing - Hybrid Digital Twin 2020.03.18
• 1-8. Applications of Computational Thermodynamics to Additive Manufacturing 2020.03.18
• 1-9. Thermal Transport in the Materials with Coexisting Order-disorder 2020.03.18
• 1-10. Global Neural Network Potential for Material Simulation and Catalysis 2020.03.18
• 1-11. Research of “Material Genes” Science and Technology for Li-ion Battery 2020.03.18
• 1-12. DFT calculations of generalized stacking fault energies and critical shear stresses of alph... 2019.03.20
• 1-13. High-throughput calculation-aided exploration of performance descriptor of single atom-dope... 2019.03.20
• 1-14. Construction and application of rare and precious metal material database platform and high... 2019.03.20
• 1-15.An enhanced finite element model considering multi strengthening mechanisms in particle rein... 2019.03.20
• 1-16. High-throughput whole-process modeling of additive manufacturing of material materials 2019.03.20
• 1-17. Composition-structure-based descriptors for screening electrochemical storage Materials 2019.03.20
• 1-18. Accelerating First Principle Calculation by CPU/GPU Heterogeneous Parallelization 2019.03.20
• 1-19. Discovery of Boron-based MAX Phase by High-throughput Calculations 2019.03.20
• 1-20. Effects of multiaxial strain on the morphology and kinetics evolution of nanoscale phase 2019.03.20
• 1-21. Machine learning prediction of alloying element occupation of superalloy based on the first... 2019.03.20
• 1-22. Coupling the CALPHAD approach and thin-film high-throughput experiments for materials design 2019.03.20
• 1-23. Material design based on motifs and machine learning 2019.03.20
• 1-24. High-Throughput Design and Screening for Apatite and Porous Materials 2019.03.20