Symposium 1：High-throughput Materials Computation and Design

• AI-assisted modeling from scientific discoveries to engineering efforts 2023.05.26
• Inverse design of stable compounds with high optical absorption via materials genome method 2023.02.17
• Inverse design of stable compounds with high optical absorption via materials genome method 2023.02.17
• Doubly hybrid functionals: From molecules to extended materials 2023.02.17
• Discontinuous Galerkin Density Functional Theory 2023.02.17
• 基于超算网格的高通量多尺度材料模拟与性能优化设计云平台 2023.02.17
• An Outline of the Integrated Calculation of Materials Engineering(ICME) 2023.02.17
• Integrated phase field method and material calculations to guide the design and process optimiza... 2023.02.17
• Thermophysical Properties of Undercooled Refractory Alloys Measured by Electrostatic Levitation 2023.02.17
• Theoretical Design Principles of Metal Catalysts for Selective Ammonia Oxidation from High Throug... 2023.02.17
• The design of magnesium-based hydrogen storage materials based on thermodynamic and kinetic calc... 2023.02.17
• High-Throughput Design of Thermoelectrics Based on MatHub-3d Repository and Search of the Key Fea... 2023.02.17
• Designing Materials with Ultimate Thermal Property via Machine Learning 2023.02.17
• Distributed multi-scale high-throughput intelligent calculations and data management platform and... 2023.02.17
• Creep morphology and properties of Co-based superalloys under high temperature stress 2023.02.17
• Local Configuration Design of Low-dimension Materials for Water Electrolysis 2023.02.17
• The Electrolyte Project: A Multiscale-Simulation and Machine-Learning Study of Lithium Battery 2023.02.17