Design of Artificial Neural Networks (ANN) with Domain-Wall Synapse Devices
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4445-9_5
Reference4 articles.
1. Kaushik D, Sharda J, Bhowmik D (2020) Synapse cell optimization and back-propagation algorithm implementation in a domain wall synapse based crossbar Neural Network for scalable on-chip learning. Nanotechnology 31(36)
2. Luo Y, Peng X, Yu S (2019) MLP+NeuroSimV3.0. In: Proceedings of the international conference on neuromorphic systems (ACM)
3. Sahu U, Sisodia N, Sharda J, Muduli PK, Bhowmik D (2022) Ferrimagnetic synapse devices for fast and energy-efficient on-chip learning on an analog-hardware neural network. IEEE Trans Electron Dev 69(4):1713–1720
4. Yadav RS, Gupta P, Holla A, Ali Khan KI, Muduli PK, Bhowmik D (2023) Demonstration of synaptic behavior in a heavy-metal-ferromagnetic-metal-oxide-heterostructure-based spintronic device for on-chip learning in crossbar-array-based neural networks. ACS Appl Electr Mater 5(1):484–497. American Chemical Society (ACS)
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