International Symposium 2

• Mixed Variable Latent Variable Gaussian Process Modeling for Materials Design 2023.02.17
• Perovskite Materials and Its Impact on Ionic Conductivity 2023.02.17
• Additive Manufacturing: High-Throughput Technique for Materials Genome 2023.02.17
• De Novo Prediction of Light yet Stiff Disordered Atomic Structures by Machine Learning 2023.02.17
• How Autonomy Can Lead us To Trust Al 2023.02.17
• The Novel Hybrid Modeling for the Design of Al-Co-Cr-Ni-Fe High Entropy Alloys (HEAs) 2023.02.17
• Gaining New Insights Into Materials Properties using Data Science 2023.02.17
• Stability and metallic structural materials design 2023.02.17
• Addressing issues in inverse design of corrosion inhibitors on active metals 2023.02.17
• Prediction of Atmospheric Corrosion under Controlled Dynamic Thin Film and Droplet electrolytes 2023.02.17
• Modeling of microstructure and morphology evolution of metallic materials under environmental attack 2023.02.17
• Data-driven Selection of Electrolyte Additives for Aqueous Magnesium Batteries 2023.02.17
• Beyond automation there is integration - lessons and prospects from building a materials accelera... 2023.02.17
• Data Driven Cloud Applications to Accelerate the Development of Corrosion Protection Technologies 2023.02.17
• Quantitative three-dimensional imaging of chemical short-range order via machine learning enhance... 2023.02.17
• Towards Robust and Uniform Assessment of Corrosion Inhibitor Efficiency 2023.02.17