Rapid learning with phase-change memory-based in-memory computing through learning-to-learn by Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos, Roland Renner, Špela Brglez, Thomas Limbacher, Enrique Piñero, Alejandro Linares-Barranco, Angeliki Pantazi, Robert Legenstein

“…In this work, we pair L2L with in-memory computing NMHW based on phase-change memory devices to build efficient AI models that can rapidly adapt to new tasks. …”
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Phase Change Memory: A Review on Electrical Behavior and Use in Analog In‐Memory‐Computing (A‐IMC) Applications by Mattia Boniardi, Matteo Baldo, Mario Allegra, Andrea Redaelli

“…In the present work, A‐IMC networks based on resistive memories and on the Phase Change Memory (PCM) technology, in particular, are extensively discussed. …”
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A Readout Scheme for PCM-Based Analog In-Memory Computing With Drift Compensation Through Reference Conductance Tracking by Alessio Antolini, Andrea Lico, Francesco Zavalloni, Eleonora Franchi Scarselli, Antonio Gnudi, Mattia Luigi Torres, Roberto Canegallo, Marco Pasotti

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SpecPCM: A Low-Power PCM-Based In-Memory Computing Accelerator for Full-Stack Mass Spectrometry Analysis by Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu, Zheyu Li, Flavio Ponzina, Anton Persson, Eric Pop, Tajana Rosing, Mingu Kang

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Scalability of Phase Change Materials in Nanostructure Template by Wei Zhang, Biyun L. Jackson, Ke Sun, Jae Young Lee, Shyh-Jer Huang, Hsin-Chieh Yu, Sheng-Po Chang, Shoou-Jinn Chang, Ya-Hong Xie

“…Therefore, the phase change memory applications are of great importance in terms of energy saving.…”
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Study of Ge-Sb-Te Superlattice Structure Based on Topological Descriptors by Xiujun Zhang, Muhammad Naeem, Abdul Rauf, Adnan Aslam, Zafar Iqbal, Abudulai Issa

“…Ge-Sb-Te superlattice is a new electronic material that is capable of storing nonvolatile phase-change memories with very low energy consumption. Topological descriptors are numerical values given to molecular structures that may be used to predict specific physical/chemical characteristics. …”
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