Daniele Ielmini

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 68

Top Topics

Top Venues

Adv. Intell. Syst.

Publications

Piergiulio Mannocci, Elisabetta Giannone, Daniele Ielmini
In-Memory Principal Component Analysis by Analogue Closed-Loop Eigendecomposition. IEEE Trans. Circuits Syst. II Express Briefs 71 (4) (2024)
Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu
Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy. Adv. Intell. Syst. 6 (1) (2024)
Stefania Perri, Cristian Zambelli, Daniele Ielmini, Cristina Silvano
Digital In-Memory Computing to Accelerate Deep Learning Inference on the Edge. IPDPS (Workshops) (2024)
Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR (2024)
L. Pistolesi, Artem Glukhov, Amadeo de Gracia Herranz, M. Lopez-Vallejo, Marcella Carissimi, Marco Pasotti, Pier Luigi Rolandi, Andrea Redaelli, I. Muñoz-Martín, S. Bianchi, A. Bonfanti, Daniele Ielmini
Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators. IRPS (2024)
Nicola Lepri, P. Gibertini, Piergiulio Mannocci, A. Pirovano, I. Tortorelli, Paolo Fantini, Daniele Ielmini
In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regime. IMW (2023)
Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy. CoRR (2023)
Piergiulio Mannocci, Elisabetta Giannone, Daniele Ielmini
Closed-Loop In-Memory Computing for Energy-Efficient Matrix Eigendecomposition. MetroXRAINE (2023)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Tunable Synaptic Working Memory with Volatile Memristive Devices. CoRR (2023)
Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR (2023)
Ren Li, Sonal Shreya, Saverio Ricci, Davide Bridarolli, Daniele Ielmini, Hooman Farkhani, Farshad Moradi
Thermal-Induced Multi-State Memristors for Neuromorphic Engineering. ISCAS (2023)
Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi, Leandro Fiorin, Serena Curzel, Luca Benini, Francesco Conti, Angelo Garofalo, Cristian Zambelli, Enrico Calore, Sebastiano Fabio Schifano, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Stefania Perri, Nicola Petra, Davide De Caro, Luciano Lavagno, Teodoro Urso, Valeria Cardellini, Gian Carlo Cardarilli, Robert Birke
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms. CoRR (2023)
L. Cattaneo, Matteo Baldo, Nicola Lepri, F. Sancandi, Massimo Borghi, Elisa Petroni, A. Serafini, R. Annunziata, Andrea Redaelli, Daniele Ielmini
Enhancing reliability of a strong physical unclonable function (PUF) solution based on virgin-state phase change memory (PCM). IRPS (2023)
Luca Laurin, Matteo Baldo, Elisa Petroni, Giulia Samanni, L. Turconi, A. Motta, Massimo Borghi, A. Serafini, D. Codegoni, M. Scuderi, S. Ran, A. Claverie, Daniele Ielmini, R. Annunziata, Andrea Redaelli
Unveiling Retention Physical Mechanism of Ge-rich GST ePCM Technology. IRPS (2023)
Piergiulio Mannocci, Enrico Melacarne, Giacomo Pedretti, Corrado Villa, Flavio Sancandi, Umberto Spagnolini, Daniele Ielmini
Accelerating massive MIMO in 6G communications by analog in-memory computing circuits. ISCAS (2023)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Tunable synaptic working memory with volatile memristive devices. Neuromorph. Comput. Eng. 3 (4) (2023)
Xabier Iturbe, Nassim Abderrahmane, Jaume Abella, Sergi Alcaide, Eric Beyne, Henri-Pierre Charles, Christelle Charpin-Nicolle, Lars Chittka, Angélica Dávila, Arne Erdmann, Carles Estrada, Ander Fernández, Anna Fontanelli, José Flich, Gianluca Furano, Alejandro Hernán Gloriani, Erik Isusquiza, Radu Grosu, Carles Hernández, Daniele Ielmini, David Jackson, Maha Kooli, Nicola Lepri, Bernabé Linares-Barranco, Jean-Loup Lachese, Eric Laurent, Menno Lindwer, Frank Linsenmaier, Mikel Luján, Karel Masarík, Nele Mentens, Orlando Moreira, Chinmay Nawghane, Luca Peres, Jean-Philippe Noel, Arash Pourtaherian, Christoph Posch, Peter Priller, Zdenek Prikryl, Felix Resch, Oliver Rhodes, Todor P. Stefanov, Moritz Storring, Michele Taliercio, Rafael Tornero, Marcel D. van de Burgwal, Geert Van der Plas, Elisa Vianello, Pavel Zaykov
NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. DATE (2023)
Piergiulio Mannocci, Andrea Baroni, Enrico Melacarne, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini
Experimental verification and benchmark of in-memory principal component analysis by crosspoint arrays of resistive switching memory. ISCAS (2022)
Piergiulio Mannocci, Enrico Melacarne, Daniele Ielmini
An Analogue In-Memory Ridge Regression Circuit With Application to Massive MIMO Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (4) (2022)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. ICECS 2022 (2022)
Saverio Ricci, Piergiulio Mannocci, Matteo Farronato, S. Hashemkhani, Daniele Ielmini
Forming-Free Resistive Switching Memory Crosspoint Arrays for In-Memory Machine Learning. Adv. Intell. Syst. 4 (8) (2022)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. CoRR (2022)
Zhong Sun, Daniele Ielmini
Invited Tutorial: Analog Matrix Computing With Crosspoint Resistive Memory Arrays. IEEE Trans. Circuits Syst. II Express Briefs 69 (7) (2022)
Matteo Farronato, Margherita Melegari, Saverio Ricci, Shahin Hashemkani, Christian Monzio Compagnoni, Daniele Ielmini
transistors for online training and inference. AICAS (2022)
Artem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini
Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators. IRPS (2022)
Alessandro Milozzi, Daniel Reiser, Andreas Drost, Thomas Neuner, Marc Tornow, Daniele Ielmini
-based RRAM for parameter extraction and neuromorphic engineering. ESSCIRC (2022)
Matteo Baldo, Lorenzo Turconi, Alessandro Motta, Elisa Petroni, Luca Laurin, Daniele Ielmini, Andrea Redaelli
Characterization of reset state through energy activation study in Ge-GST based ePCM. ESSDERC (2022)
Stefano Brivio, Sabina Spiga, Daniele Ielmini
-based resistive switching memory devices for neuromorphic computing. Neuromorph. Comput. Eng. 2 (4) (2022)
Artem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays. VLSI-SoC (2022)
Javad Ahmadi-Farsani, Saverio Ricci, Shahin Hashemkhani, Daniele Ielmini, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona
A Hybrid Memristor/CMOS SNN for Implementing One-Shot Winner-Takes-All Training. ISCAS (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (2022)
Matteo Baldo, L. Laurin, Elisa Petroni, Giulia Samanni, M. Allegra, Enrico Gomiero, Daniele Ielmini, Andrea Redaelli
Modeling Environment for Ge-rich GST Phase Change Memory Cells. IMW (2022)
Zhong Sun, Daniele Ielmini
Tutorial: Analog Matrix Computing (AMC) with Crosspoint Resistive Memory Arrays. CoRR (2022)
Nicola Lepri, Artem Glukhov, Daniele Ielmini
Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators. IRPS (2022)
Matteo Baldo, Elisa Petroni, Luca Laurin, Giulia Samanni, Octavian Melinc, Daniele Ielmini, Andrea Redaelli
Interaction between forming pulse and integration process flow in ePCM. PRIME (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
Shiqing Wang, Zhong Sun, Yuheng Liu, Shengyu Bao, Yimao Cai, Daniele Ielmini, Ru Huang
Optimization Schemes for In-Memory Linear Regression Circuit With Memristor Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (12) (2021)
Giacomo Pedretti, Elia Ambrosi, Daniele Ielmini
Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM). IRPS (2021)
Andrea Redaelli, Anna Gandolfo, G. Samanni, E. Gomiero, E. Petroni, Luca Scotti, A. Lippiello, Paolo Mattavelli, J. Jasse, D. Codegoni, A. Serafini, Rossella Ranica, C. Boccaccio, J. Sandrini, R. Berthelon, J. C. Grenier, Olivier Weber, David Turgis, A. Valery, S. Del Medico, V. Caubet, J. P. Reynard, Didier Dutartre, L. Favennec, A. Conte, Fabio Disegni, M. De Tomasi, A. Ventre, M. Baldo, Daniele Ielmini, Alfonso Maurelli, P. Ferreira, Franck Arnaud, F. Piazza, Paolo Cappelletti, R. Annunziata, R. Gonella
Improving Ge-rich GST ePCM reliability through BEOL engineering. ESSDERC (2021)
Wei Wang, Erika Covi, Alessandro Milozzi, Matteo Farronato, Saverio Ricci, Caterina Sbandati, Giacomo Pedretti, Daniele Ielmini
Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories. Adv. Intell. Syst. 3 (4) (2021)
Valerio Milo, Francesco Anzalone, Cristian Zambelli, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, Oscar Gonzalez Ossorio, Piero Olivo, Christian Wenger, Daniele Ielmini
Optimized programming algorithms for multilevel RRAM in hardware neural networks. IRPS (2021)
Piergiulio Mannocci, Giacomo Pedretti, Elisabetta Giannone, Enrico Melacarne, Zhong Sun, Daniele Ielmini
A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (12) (2021)
Matteo Baldo, Daniele Ielmini
Modeling of oxide-based ECRAM programming by drift-diffusion ion transport. IMW (2021)
Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
In-memory eigenvector computation in time O(1). CoRR (2020)
Daniele Ielmini, Giacomo Pedretti
Device and Circuit Architectures for In-Memory Computing. Adv. Intell. Syst. 2 (7) (2020)
Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices. AICAS (2020)
Zhong Sun, Giacomo Pedretti, Piergiulio Mannocci, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
Time complexity of in-memory solution of linear systems. CoRR (2020)
Stefano Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini
A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks. ISCAS (2020)
Zhong Sun, Giacomo Pedretti, Alessandro Bricalli, Daniele Ielmini
One-step regression and classification with crosspoint resistive memory arrays. CoRR (2020)
Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, O. Melnic, Elisabetta Chicca, Daniele Ielmini
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. ISCAS (2020)
Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi
Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. 2 (8) (2020)
I. Muñoz-Martín, Stefano Bianchi, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini
Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning. ISCAS (2020)
Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi
Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. 2 (8) (2020)
Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
In-Memory Eigenvector Computation in Time O (1). Adv. Intell. Syst. 2 (8) (2020)
Zhong Sun, Giacomo Pedretti, Daniele Ielmini
Fast Solution of Linear Systems with Analog Resistive Switching Memory (RRAM). ICRC (2019)
Nicola Polino, Mario Laudato, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
Joule Heating in SiOx RRAM Device Studied by an Integrated Micro-Thermal Stage. ESSDERC (2019)
Roberto Carboni, E. Vernocchi, M. Siddik, J. Harms, A. Lyle, G. Sandhu, Daniele Ielmini
A compact model of stochastic switching in STT magnetic RAM for memory and computing. NANOARCH (2019)
Stefano Bianchi, I. Muñoz-Martín, Giacomo Pedretti, O. Melnic, Stefano Ambrogio, Daniele Ielmini
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses. VLSI Circuits (2019)
Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Wei Wang, Daniele Ielmini
In-memory solution of linear systems with crosspoint arrays without iterations. DRC (2019)
Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi
Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits. CoRR (2019)
Erika Covi, Daniele Ielmini, Y.-H. Lin, W. Wang, T. Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, Tseung-Yuen Tseng
A Volatile RRAM Synapse for Neuromorphic Computing. ICECS (2019)
Valerio Milo, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Oscar Gonzalez Ossorio, Christian Wenger, Daniele Ielmini
Low-energy inference machine with multilevel HfO2 RRAM arrays. ESSDERC (2019)
Valerio Milo, Elisabetta Chicca, Daniele Ielmini
Brain-inspired recurrent neural network with plastic RRAM synapses. ISCAS (2018)
Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP). IEEE Trans. Very Large Scale Integr. Syst. 26 (12) (2018)
Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (1) (2018)
Valerio Milo, Giacomo Pedretti, Mario Laudato, Alessandro Bricalli, Elia Ambrosi, Stefano Bianchi, Elisabetta Chicca, Daniele Ielmini
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. ISCAS (2018)
Daniele Ielmini, Stefano Ambrogio, Valerio Milo, Simone Balatti, Zhongqiang Wang
Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning. ISCAS (2016)
Nicola Ciocchini, Mario Laudato, Andrea L. Lacaita, Daniele Ielmini, M. Boniardi, E. Varesi, Paolo Fantini
Bipolar-switching operated phase change memory (PCM) for improved high-temperature reliability. ESSDERC (2016)
Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Daniele Ielmini
True Random Number Generation by Variability of Resistive Switching in Oxide-Based Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 5 (2) (2015)
Stefano Ambrogio, Simone Balatti, Zhongqiang Wang, Yu-Sheng Chen, Heng-Yuan Lee, Frederick T. Chen, Daniele Ielmini
Data retention statistics and modelling in HfO2 resistive switching memories. IRPS (2015)
Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Scott Sills, Alessandro Calderoni, Nirmal Ramaswamy, Daniele Ielmini
Understanding pulsed-cycling variability and endurance in HfOx RRAM. IRPS (2015)
Stefano Ambrogio, Simone Balatti, Daniele Ielmini, D. C. Gilmer
Analytical modelling and leakage optimization in complementary resistive switch (CRS) crossbar arrays. ESSDERC (2014)
Maurizio Rizzi, Nicola Ciocchini, Daniele Ielmini, Andrea Ghetti, Paolo Fantini
Set/reset statistics and kinetics in phase change memory arrays. ESSDERC (2014)
Stefano Ambrogio, Simone Balatti, Antonio Cubeta, Daniele Ielmini
Statistical modeling of program and read variability in resistive switching devices. ISCAS (2014)
G. Ghidini, A. Garavaglia, G. Giusto, Andrea Ghetti, R. Bottini, D. Peschiaroli, M. Scaravaggi, F. Cazzaniga, Daniele Ielmini
Impact of gate stack process on conduction and reliability of 0.18 mum PMOSFET. Microelectron. Reliab. 43 (8) (2003)