Items where Author is "Tok, KH"
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Article
Brown, J, Tok, KH, Gao, R, Ji, Z, Zhang, W, Marsland, JS, Chiarella, T, Franco, J, Kaczer, B, Linten, D and Zhang, JF (2023) A Pragmatic Model to Predict Future Device Aging. IEEE Access, 11. pp. 127725-127736. ISSN 2169-3536
Tok, KH, Zhang, J, Brown, J, Ji, Z, Zhang, W and Marsland, J (2023) Characterizing and Modelling RTN under real circuit bias conditions. IEEE Transactions on Electron Devices, 70 (5). pp. 2424-2430. ISSN 0018-9383
Tok, KH, Zhang, JF, Brown, J, Ye, Z, Ji, Z, Zhang, WD and Marsland, JS (2022) AC RTN: Testing, Modeling, and Prediction. IEEE Transactions on Electron Devices. pp. 1-7. ISSN 0018-9383
Tok, KH, Mehedi, M, Zhang, JF, Brown, J, Ye, Z, Ji, Z, Zhang, W, Marsland, JS, Asenov, A and Georgiev, V (2022) An Integral Methodology for Predicting Long Term RTN. IEEE Transactions on Electron Devices. ISSN 0018-9383
Mehedi, M, Tok, KH, Ye, Z, Zhang, JF, Ji, Z, Zhang, WD and Marsland, J (2021) On the accuracy in modelling the statistical distribution of Random Telegraph Noise Amplitude. IEEE Access. ISSN 2169-3536
Mehedi, M, Tok, KH, Zhang, JF, Ji, Z, Ye, Z, Zhang, WD and Marsland, JS (2020) An assessment of the statistical distribution of Random Telegraph Noise Time Constants. IEEE Access, 8. pp. 182273-182282. ISSN 2169-3536
Conference or Workshop Item
Tok, KH, Zhang, JF, Brown, J, Zhigang, J and Zhang, WD (2023) Extracting statistical distributions of RTN originating from both acceptor-like and donor-like traps. In: Proceedings of IEEE 15th International Conference on ASIC (ASICON) . pp. 1-4. (2023 IEEE 15th International Conference on ASIC (ASICON 2023), 24-27 October 2023, Nanjing, China).
Mehedi, M, Tok, KH, Zhang, JF, Ji, Z, Ye, Z, Zhang, WD and Marsland, J (2021) An integrated method for extracting the statistical distribution of RTN time constants. In: 2021 IEEE 14th International Conference on ASIC (ASICON) . (IEEE 14th International Conference on ASIC (ASICON), 26 October 2021 - 29 October 2021, Kunming, China (Online)).
Thesis
Tok, KH (2024) Statistical Analysis and Predictive Modelling of Random Telegraph Noise in Nanometre Devices for Low Power Applications. Doctoral thesis, Liverpool John Moores University.