Computational Materials Science高引用文章

• Matminer: An open source toolkit for materials data mining

  引用次数：69

• 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 scale

  引用次数：53

• Accelerating high-throughput searches for new alloys with active learning of interatomic potentials

  引用次数：42

• Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

  引用次数：32

• Three-dimensional modeling of the microstructure evolution during metal additive manufacturing

  引用次数：29

• Electronic and magnetic properties of single-layer boron phosphide associated with materials processing defects

  引用次数：25

• Heat and fluid flow in additive manufacturing-Part I: Modeling of powder bed fusion

  引用次数：24

• Predicting the thermodynamic stability of perovskite oxides using machine learning models

  引用次数：23

• A data-driven statistical model for predicting the critical temperature of a superconductor

  引用次数：23

• Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model

  引用次数：21