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Inverse Lithography Physics-informed Deep Neural Level Set for Mask Optimization
By gearing up DL with knowledge of inverse lithography physics, ILDLS provides a new and efficient mask optimization solution.
High-Efficient ab initio Bayesian Active Learning Method and Applications in Prediction of Two-dimensional Functional Materials
Beyond the conventional trial-and-error method, machine learning offers a great opportunity to accelerate the discovery of functional materials, but still often suffers from difficulties such as limited materials data and unbalanced distribution of target property.
Active Learning
Materials Science
Kagome quantum anomalous Hall effect with high Chern number and large band gap
For the bilayer compound Co6Sn5Se4, it becomes a half-metal, with a relatively flat plateau in its anomalous Hall conductivity corresponding to |C| = 3 near the Fermi level.
Materials Science
