Sayani Majumdar

Orcid: 0000-0001-7779-3959

According to our database1, Sayani Majumdar authored at least 6 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Back-End and Flexible Substrate Compatible Analog Ferroelectric Field-Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators.
Adv. Intell. Syst., November, 2023

Modelling Ferroelectric Hysteresis of HZO Capacitor with Jiles-Atherton Model for Non-Volatile Memory Applications.
Proceedings of the 12th Non-Volatile Memory Systems and Applications Symposium, 2023

2022
An efficient deep neural network accelerator using controlled ferroelectric domain dynamics.
Neuromorph. Comput. Eng., December, 2022

Efficient Deep Neural Network Accelerator Using Controlled Ferroelectric Domain Dynamics.
CoRR, 2022

Back-End CMOS Compatible and Flexible Ferroelectric Memories for Neuromorphic Computing and Adaptive Sensing.
Adv. Intell. Syst., 2022

2019
Mimicking Neurotransmitter Release and Long-Term Plasticity by Oxygen Vacancy Migration in a Tunnel Junction Memristor.
Adv. Intell. Syst., 2019


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