Machine learning-assisted design guidelines and performance prediction of CMOS-compatible metal oxide-based resistive switching

2022

작성자

thlee12

작성일

2022-09-30 13:30

조회

388

저널명 : Applied Materials Today XX, XXXXX (2022)

논문 저자

Tukaram D. Dongale; Santosh S. Sutar; Yogesh D. Dange; Atul C. Khot; Somnath S. Kundale; Swapnil R. Patil; Shubham Patil; Aditya Patil; Sagar Khot; Pramod J. Patil; Jinho Bae; Rajanish K. Kamat and Tae Geun Kim*

« Graphite–Metal Composite Electrode with Tunable Work Function for Use in Optoelectronic Devices / Journal of Materials Chemistr

Work-Function-Tunable Metal-Oxide Mesh Electrode and Novel Soluble Bipolar Host for High-Performance Solution-Processed Flexibl »

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Papers

Machine learning-assisted design guidelines and performance prediction of CMOS-compatible metal oxide-based resistive switching