Segmentation of experimental datasets via convolutional neural networks trained on phase field simulations > Key Achievements

Segmentation of experimental datasets via convolutional neural networks trained on phase field simulations

Division: 6Selected Publications

Link: https://doi.org/10.1016/j.actamat.2021.116990 1843회 연결

Segmentation of experimental datasets via convolutional neural networks trained on phase field simulations, J. Yeom, T. Stan, S. Hong* and P. W. Voorhees, Acta Mater. 214, 116990 (2021)

이전글Machine learning assisted synthesis of lithium-ion batteries cathode materials 23.09.03
다음글Visualization of Polarization and Ion Distribution in Functional Materials 23.09.01

Members

Research

Publication

Board

Contact

Publication

Key Achievements

Segmentation of experimental datasets via convolutional neural networks trained on phase field simulations