Computational Materials Science SCIE

文章名称引用次数

• Matminer: An open source toolkit for materials data mining69
• DAMASK - The Dusseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale53
• Accelerating high-throughput searches for new alloys with active learning of interatomic potentials42
• Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets32
• Three-dimensional modeling of the microstructure evolution during metal additive manufacturing29
• Electronic and magnetic properties of single-layer boron phosphide associated with materials processing defects25
• Heat and fluid flow in additive manufacturing-Part I: Modeling of powder bed fusion24
• Predicting the thermodynamic stability of perovskite oxides using machine learning models23
• A data-driven statistical model for predicting the critical temperature of a superconductor23
• Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model21