International Symposium 2

• S2-01 Determinism in Science and Engineering 2021.12.21
• S2-02 Historical vs. Future Material Degradation in LWRs 2021.12.21
• S2-03 DATA-DRIVEN DISCOVERY OF NEW MATERIALS FOR SOLIDSTATE BATTERIES 2021.12.21
• S2-04 Accelerated discovery of high entropy alloys assisted by machine learning 2021.12.21
• S2-05 Lessons to Integrate Heterogeneous Data Sets for Prediction 2021.12.21
• S2-06 Exploring material genes and structure chemistry in Li-ion batteries 2021.12.21
• S2-07 Accelerated Catalyst Development Platform 2021.12.21
• S2-08 Data-driven materials design and property extraction from simple testing 2021.12.21
• S2-09 Extension and Application of Multivariate Curve Resolution-Alternating 2021.12.21
• S2-10 A Multiscale-Simulation and Machine-Learning Study of Lithium Battery Electrolytes 2021.12.21
• S2-11 Active Learning with Knowledge Constraints for Process Optimization of Perovskite Solar Cells 2021.12.21
• S2-12 High-throughput engineering and interpretable machine learning for stable metal-halide pero... 2021.12.21
• S2-13 Advanced high-throughput synthetic methods and parallel characterization tools for multinar... 2021.12.21
• S2-14 Stress Corrosion Cracking simulation as a support to engineering 2021.12.21
• S2-15 High Temperature Very-High-Cycle Fatigue Behaviour and Lifetime Prediction of Ni-base Super... 2021.12.21