Smart Logic-in-Memory Architecture for Low-Power Non-Von Neumann Computing von Zanotti, Tommaso, Puglisi, Francesco Maria, Pavan, Paolo

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Multi-Input Logic-in-Memory for Ultra-Low Power Non-Von Neumann Computing von Zanotti, Tommaso, Pavan, Paolo, Puglisi, Francesco Maria

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Energy-Efficient Non-Von Neumann Computing Architecture Supporting Multiple Computing Paradigms for Logic and Binarized Neural Networks von Zanotti, Tommaso, Puglisi, Francesco Maria, Pavan, Paolo

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Information Transfer in Neuronal Circuits: From Biological Neurons to Neuromorphic Electronics von Gandolfi, Daniela, Benatti, Lorenzo, Zanotti, Tommaso, Boiani, Giulia M., Bigiani, Albertino, Puglisi, Francesco M., Mapelli, Jonathan

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Optimized Synthesis Method for Ultra-Low Power Multi-Input Material Implication Logic With Emerging Non-Volatile Memories von Puglisi, Francesco Maria, Zanotti, Tommaso, Pavan, Paolo

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Random Telegraph Noise in Metal‐Oxide Memristors for True Random Number Generators: A Materials Study von Li, Xuehua, Zanotti, Tommaso, Wang, Tao, Zhu, Kaichen, Puglisi, Francesco Maria, Lanza, Mario

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Ultra-low power logic in memory with commercial grade memristors and FPGA-based smart-IMPLY architecture von Benatti, Lorenzo, Zanotti, Tommaso, Pavan, Paolo, Puglisi, Francesco Maria

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Reconfigurable Smart In-Memory Computing Platform Supporting Logic and Binarized Neural Networks for Low-Power Edge Devices von Zanotti, Tommaso, Puglisi, Francesco Maria, Pavan, Paolo

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Advanced Data Encryption ​using 2D Materials von Wen, Chao, Li, Xuehua, Zanotti, Tommaso, Puglisi, Francesco Maria, Shi, Yuanyuan, Saiz, Fernan, Antidormi, Aleandro, Roche, Stephan, Zheng, Wenwen, Liang, Xianhu, Hu, Jiaxin, Duhm, Steffen, Roldan, Juan B., Wu, Tianru, Chen, Victoria, Pop, Eric, Garrido, Blas, Zhu, Kaichen, Hui, Fei, Lanza, Mario

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STT-MTJ Based Smart Implication for Energy-Efficient Logic-in-Memory Computing von De Rose, Raffaele, Zanotti, Tommaso, Puglisi, Francesco Maria, Crupi, Felice, Pavan, Paolo, Lanuzza, Marco

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Smart Material Implication Using Spin-Transfer Torque Magnetic Tunnel Junctions for Logic-in-Memory Computing von De Rose, Raffaele, Zanotti, Tommaso, Puglisi, Francesco Maria, Crupi, Felice, Pavan, Paolo, Lanuzza, Marco

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Hardware implementation of a true random number generator integrating a hexagonal boron nitride memristor with a commercial microcontroller von Pazos, Sebastian, Zheng, Wenwen, Zanotti, Tommaso, Aguirre, Fernando, Becker, Thales, Shen, Yaqing, Zhu, Kaichen, Yuan, Yue, Wirth, Gilson, Puglisi, Francesco Maria, Roldán, Juan Bautista, Palumbo, Felix, Lanza, Mario

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Reliability of Logic-in-Memory Circuits in Resistive Memory Arrays von Zanotti, Tommaso, Zambelli, Cristian, Puglisi, Francesco Maria, Milo, Valerio, Perez, Eduardo, Mahadevaiah, Mamathamba K., Ossorio, Oscar G., Wenger, Christian, Pavan, Paolo, Olivo, Piero, Ielmini, Daniele

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Biologically plausible information propagation in a complementary metal-oxide semiconductor integrate-and-fire artificial neuron circuit with memristive synapses von Benatti, Lorenzo, Zanotti, Tommaso, Gandolfi, Daniela, Mapelli, Jonathan, Puglisi, Francesco Maria

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Data Encryption: Advanced Data Encryption ​using 2D Materials (Adv. Mater. 27/2021) von Wen, Chao, Li, Xuehua, Zanotti, Tommaso, Puglisi, Francesco Maria, Shi, Yuanyuan, Saiz, Fernan, Antidormi, Aleandro, Roche, Stephan, Zheng, Wenwen, Liang, Xianhu, Hu, Jiaxin, Duhm, Steffen, Roldan, Juan B., Wu, Tianru, Chen, Victoria, Pop, Eric, Garrido, Blas, Zhu, Kaichen, Hui, Fei, Lanza, Mario

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Smart Material Implication Using Spin-Transfer Torque Magnetic Tunnel Junctions for Logic-in-Memory Computing von De Rose, Raffaele, Zanotti, Tommaso, Puglisi, Francesco Maria, Crupi, Felice, Pavan, Paolo, Lanuzza, Marco

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Reliability-Aware Design Strategies for Stateful Logic-in-Memory Architectures von Zanotti, Tommaso, Puglisi, Francesco Maria, Pavan, Paolo

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Metodo di lettura per circuiti del tipo Logic-in-Memory e relativa architettura circuitale von Pavan, Paolo, Puglisi, Francesco Maria, Zanotti, Tommaso

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Reliability and Performance Analysis of Logic-in-Memory Based Binarized Neural Networks von Zanotti, Tommaso, Puglisi, Francesco Maria, Pavan, Paolo

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Guidelines for the Design of Random Telegraph Noise-Based True Random Number Generators von Zanotti, Tommaso, Ranjan, Alok, O'Shea, Sean J., Raghavan, Nagarajan, Thamankar, Ramesh, Leong Pey, Kin, Maria Puglisi, Francesco

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