Chandni Akbar

According to our database, Chandni Akbar authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Application of long short-term memory modeling technique to predict process variation effects of stacked gate-all-around Si nanosheet complementary-field effect transistors.

Rajat Butola, Yiming Li, Sekhar Reddy Kola, Chandni Akbar, Min-Hui Chuang

Comput. Electr. Eng., January, 2023

2022

Transfer learning approach to analyzing the work function fluctuation of gate-all-around silicon nanofin field-effect transistors.

Chandni Akbar, Yiming Li, Wen-Li Sung

Comput. Electr. Eng., 2022

Device-Simulation-Based Machine Learning Technique for the Characteristic of Line Tunnel Field-Effect Transistors.

Chandni Akbar, Yiming Li, Narasimhulu Thoti

IEEE Access, 2022

2021

Deep Learning Algorithms for the Work Function Fluctuation of Random Nanosized Metal Grains on Gate-All-Around Silicon Nanowire MOSFETs.

Chandni Akbar, Yiming Li, Wen-Li Sung

IEEE Access, 2021

2019

Physics-Prior Bayesian Neural Networks in Semiconductor Processing.

Chun Han Chen, Parag Parashar, Chandni Akbar, Sze Ming Fu, Ming-Ying Syu, Albert S. Lin

IEEE Access, 2019

2018

Intelligent Manufacturing: TCAD-Assisted Adaptive Weighting Neural Networks.

Chien Y. Huang, Sze Ming Fu, Parag Parashar, Chun Han Chen, Chandni Akbar, Albert S. Lin

IEEE Access, 2018