Hua Chen

Dec 7, 2024 | mdpi.com | Di Zhang |Min Zhou |Zhiyu Wang |Hua Chen

1. IntroductionArtificial intelligence (AI) techniques have been recognized as powerful tools for microwave filter design and modeling problems [1,2]. These techniques include space mapping (SM) [3,4], radial basis function (RBF) [5], support vector machines (SVM) [6], and neural-transfer function (neuro-TF) [7]. The reported forward models are all full-wave electromagnetic (EM) surrogate models, which require the iterative use of optimization algorithms to verify the design parameters [8,9].

Dec 3, 2024 | mdpi.com | Hua Chen

Nov 26, 2024 | nature.com | Hua Chen

AbstractA model for studying displacement damage in irradiated HfO2 ferroelectric thin films was developed using deep learning and a repulsive table, combining the accuracy of density functional theory with the efficiency of molecular dynamics. This model accurately predicts the properties of various HfO2 phases, such as PO (Pca21), T (P42/nmc), AO (Pbca), and M (P21/c), and describes the atom collision-separation process during irradiation.

Jul 18, 2024 | mdpi.com | Meng Chen |Hua Chen |Zeheng Wu |Yu Huang

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Jan 9, 2024 | onlinelibrary.wiley.com | Mingchen Yang |Yin Hu |Xiaoliang Wang |Hua Chen

Supporting Information Filename Description adma202312249-sup-0001-SuppMat.pdf3.9 MB Supporting Information adma202312249-sup-0002-MovieS1.mp437.7 MB Supplemental Movie 1