| Hybrid 2D–CMOS microchips for memristive applications K Zhu, S Pazos, F Aguirre, Y Shen, Y Yuan, W Zheng, O Alharbi, ... Nature 618 (7963), 57-62, 2023 | 71 | 2023 |
| Neuromorphic motion detection and orientation selectivity by volatile resistive switching memories W Wang, E Covi, A Milozzi, M Farronato, S Ricci, C Sbandati, G Pedretti, ... Advanced Intelligent Systems 3 (4), 2000224, 2021 | 49 | 2021 |
| In-memory computing with emerging memory devices: Status and outlook P Mannocci, M Farronato, N Lepri, L Cattaneo, A Glukhov, Z Sun, ... APL Machine Learning 1 (1), 2023 | 30 | 2023 |
| Switching dynamics of Ag-based filamentary volatile resistive switching devices—Part I: Experimental characterization E Covi, W Wang, YH Lin, M Farronato, E Ambrosi, D Ielmini IEEE Transactions on Electron Devices 68 (9), 4335-4341, 2021 | 30 | 2021 |
| Switching dynamics of Ag-based filamentary volatile resistive switching devices—Part II: Mechanism and modeling W Wang, E Covi, YH Lin, E Ambrosi, A Milozzi, C Sbandati, M Farronato, ... IEEE Transactions on Electron Devices 68 (9), 4342-4349, 2021 | 25 | 2021 |
| Reservoir Computing with Charge‐Trap Memory Based on a MoS2 Channel for Neuromorphic Engineering M Farronato, P Mannocci, M Melegari, S Ricci, CM Compagnoni, D Ielmini Advanced Materials 35 (37), 2205381, 2023 | 23 | 2023 |
| Memtransistor Devices Based on MoS2 Multilayers with Volatile Switching due to Ag Cation Migration M Farronato, M Melegari, S Ricci, S Hashemkhani, A Bricalli, D Ielmini Advanced Electronic Materials 8 (8), 2101161, 2022 | 23 | 2022 |
| Forming‐Free Resistive Switching Memory Crosspoint Arrays for In‐Memory Machine Learning S Ricci, P Mannocci, M Farronato, S Hashemkhani, D Ielmini Advanced Intelligent Systems 4 (8), 2200053, 2022 | 13 | 2022 |
| In-memory computing for machine learning and deep learning N Lepri, A Glukhov, L Cattaneo, M Farronato, P Mannocci, D Ielmini IEEE Journal of the Electron Devices Society, 2023 | 7 | 2023 |
| Redox memristors with volatile threshold switching behavior for neuromorphic computing YH Wang, TC Gong, YX Ding, Y Li, W Wang, ZA Chen, N Du, E Covi, ... Journal of Electronic Science and Technology 20 (4), 100177, 2022 | 5 | 2022 |
| Low-current, highly linear synaptic memory device based on MoS2 transistors for online training and inference M Farronato, M Melegari, S Ricci, S Hashemkani, CM Compagnoni, ... 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 5 | 2022 |
| In-Memory Computing with Crosspoint Resistive Memory Arrays for Machine Learning S Ricci, P Mannocci, M Farronato, D Ielmini Annual Meeting of the Italian Electronics Society, 35-40, 2022 | 1 | 2022 |
| Programming Characteristics of Electrochemical Random Access Memory (ECRAM)—Part I: Experimental Study M Porzani, S Ricci, M Farronato, D Ielmini IEEE Transactions on Electron Devices, 2024 | | 2024 |
| Development of Crosspoint Memory Arrays for Neuromorphic Computing S Ricci, P Mannocci, M Farronato, A Milozzi, D Ielmini Special Topics in Information Technology, 65-74, 2024 | | 2024 |
| Memtransistor devices based on MoS2 for neuromorphic computing M Farronato, P Mannocci, S Ricci, A Bricalli, M Melegari, ... Proceedings of Neuromorphic Materials, Devices, Circuits and Systems …, 2023 | | 2023 |
| Neuromorphic devices based on 2D materials and their applications in computing M Farronato | | 2022 |
| Development of innovative synaptic devices for the online training of neural networks M FARRONATO Politecnico di Milano, 2018 | | 2018 |
| RECENT PROGRESSES OF IN-MEMORY COMPUTING: MATERIALS, DEVICES AND ARCHITECTURES D Ielmini, F Sancandi, M Farronato, S Hashemkhani, S Ricci, M Baldo, ... BOOK OF ABSTRACTS, 23, 0 | | |
Daniele IelminiProfessor of ElectronicsVerified email at elet.polimi.it
