AI for Material Science — International Symposium Track2

• Development and applications of moment tensor machine learning potential 2024.01.05
• Materials discovery under extreme conditions: computational prediction followed by experimental ... 2024.01.05
• Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery 2024.01.05
• Pitting corrosion prediction: from data dispersion analysis to ML estimation of descriptors and d... 2024.01.05
• Coordination Engineering ofNanomaterials for Sustainable Energy 2024.01.05
• Machine learning for functional molecular materials and supramolecular assemblies 2024.01.05
• Data-driven materials discovery and prediction for intelligent corrosion control 2024.01.05
• Thermal conduction in argyrodite compounds and their alloys 2024.01.05
• High Throughput Microwave Heat-treatment and Characterization Technologies 2024.01.05
• From virtual to reality: a practical route to design new materials 2024.01.05
• Research on multi-factors coupled environmental fatigue behavior of nuclear materials 2024.01.05
• Interfacial Engineering of the magnetism and spin transport in two-dimensional materials 2024.01.05
• High-throughput and in silico exploration of corrosion inhibitors f or magnesium 2024.01.05
• Inverse Design of Functional Materials 2024.01.05
• Machine learning for functional molecular materials and supramolecular assemblies 2024.01.05