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A flexible and fast digital twin for RRAM systems applied for training resilient neural networks.

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Title: A flexible and fast digital twin for RRAM systems applied for training resilient neural networks.
Authors: Fritscher, Markus1,2 (AUTHOR) fritscher@ihp-microelectronics.com, Singh, Simranjeet3 (AUTHOR), Rizzi, Tommaso1 (AUTHOR), Baroni, Andrea1 (AUTHOR), Reiser, Daniel4 (AUTHOR), Mallah, Maen5 (AUTHOR), Hartmann, David5 (AUTHOR), Bende, Ankit6 (AUTHOR), Kempen, Tim6 (AUTHOR), Uhlmann, Max1 (AUTHOR), Kahmen, Gerhard1,2 (AUTHOR), Fey, Dietmar7 (AUTHOR), Rana, Vikas3 (AUTHOR), Menzel, Stephan6 (AUTHOR), Reichenbach, Marc5 (AUTHOR), Krstic, Milos1,8 (AUTHOR), Merchant, Farhad9,10 (AUTHOR), Wenger, Christian1,2 (AUTHOR)
Source: Scientific Reports. 10/10/2024, Vol. 14 Issue 1, p1-13. 13p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 10/10/2024, Vol. 14 Issue 1, p1-13. 13p.
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