Symposium 4：Materials Database and Big Data Technologies

• 机器学习与大规模材料计算 2023.02.17
• Mechanical properties prediction and reverse mechanism deepening based on multi-mode data analysis 2023.02.17
• Exploring the Generalization Ability of Machine Learning Models: Predicting physical information ... 2023.02.17
• Determinants of Metal Surface and Interface Stability: Mechanism and Application 2023.02.17
• Exploring the Generalization Ability of Machine Learning Models: Predicting physical information... 2023.02.17
• Deep learning based molecular generation strategies for different materials 2023.02.17
• Accelerated discovery of multi-objective properties in multi-principal element alloys by high-thr... 2023.02.17
• Two-Dimensional Materials Design via Machine-Learning Model Based on Small Dataset 2023.02.17
• Crystal structure prediction by combining graph network and optimization algorithm 2023.02.17
• Revealing the Materials Chemistry and Physics through the Mathematical Power of High Performance ... 2023.02.17
• Smart systems engineering contributing to materials discovery for carbon-neutral future 2023.02.17
• A Review of Molecule Featurization Methods for Materials Informatics Submitted to 6th For MGE 2023.02.17
• Variant Selection during Beta to Alpha Transformation in Titanium-Alloys 2023.02.17
• Identification of Top-performance Antimicrobial Peptides from Whole Peptide Libraries via a Seq... 2023.02.17
• AI-assisted Modeling from Scientific Discoveries to Engineering Efforts 2023.02.17
• Machine-learning prediction of volume effects of binary substitutional metallic solid solutions 2023.02.17
• Based on Dassault Systemes Digital Technology to Realize the V+R Generative Design of New Materials 2023.02.17