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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorIelmini Daniele
QualificationFull professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorING-INF/01 - Electronic Engineering
Curriculum VitaeDownload CV (361.15Kb - 13/01/2022)
OrcIDhttps://orcid.org/0000-0002-1853-1614

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Elettronica e Informazione, via Golgi 40 (Ed. 16)----FridayFrom 10:00
To 12:00
0223996120----
E-maildaniele.ielmini@polimi.it
Professor's personal websitehttp://www.dei.polimi.it/personale/docentidettaglio.php?id_docente=120&id_sezione=&lettera=I&idlang=

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Scientific Books
Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations (Show >>)
Journal Articles
In-Memory Principal Component Analysis by Crosspoint Array of Resistive Switching Memory: A New Hardware Approach for Energy-Efficient Data Analysis in Edge Computing (Show >>)
Modeling and Compensation of IR Drop in Crosspoint Accelerators of Neural Networks (Show >>)
Pavlovian conditioning achieved via one-transistor/one-resistor memristive synapse (Show >>)
Three-Terminal Ovonic Threshold Switch (3T-OTS) with Tunable Threshold Voltage for Versatile Artificial Sensory Neurons (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
Dispositivo basato su nanofili per l’implementazione di un reservoir per una rete neurale (Show >>)
Contributions on scientific books
Drift Phenomena in Phase Change Memories (Show >>)
Conference proceedings
Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM) (Show >>)
Improving Ge-rich GST ePCM reliability through BEOL engineering (Show >>)
Modeling of oxide-based ECRAM programming by drift-diffusion ion transport (Show >>)
Optimized programming algorithms for multilevel RRAM in hardware neural networks (Show >>)
Tackling the Low Conductance State Drift through Incremental Reset and Verify in RRAM arrays (Show >>)
Journal Articles
A Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic Computing (Show >>)
A Drift-Resilient Hardware Implementation of Neural Accelerators Based on Phase Change Memory Devices (Show >>)
A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors (Show >>)
Accurate Program/Verify Schemes of Resistive Switching Memory (RRAM) for In-Memory Neural Network Circuits (Show >>)
Brain-inspired computing via memory device physics (Show >>)
Combining accuracy and plasticity in convolutional neural networks based on resistive memory arrays for autonomous learning (Show >>)
Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations (Show >>)
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks (Show >>)
In-memory computing with resistive memory circuits: Status and outlook (Show >>)
Materials challenges and opportunities for brain-inspired computing (Show >>)
Optimization Schemes for In-Memory Linear Regression Circuit With Memristor Arrays (Show >>)
Redundancy and Analog Slicing for Precise In-Memory Machine Learning--Part II: Applications and Benchmark (Show >>)
Redundancy and Analog Slicing for Precise in-Memory Machine Learning--Part I: Programming Techniques (Show >>)
Standards for the Characterization of Endurance in Resistive Switching Devices (Show >>)
Switching Dynamics of Ag Based Filamentary Volatile Resistive Switching Devices--Part I: Experimental Characterization (Show >>)
Switching Dynamics of Ag-Based Filamentary Volatile Resistive Switching Devices--Part II: Mechanism and Modeling (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Applications of Resistive Switching Memory as Hardware Security Primitive (Show >>)
Synaptic realizations based on memristive devices (Show >>)
Conference proceedings
A SiOx RRAM-based hardware with spike frequency adaptation for power-saving continual learning in convolutional neural networks (Show >>)
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making (Show >>)
A bio-inspired recurrent neural network with self-adaptive neurons and PCM synapses for solving reinforcement learning tasks (Show >>)
Hardware implementation of PCM-based neurons with self-regulating threshold for homeostatic scaling in unsupervised learning (Show >>)
In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices (Show >>)
Modeling of virgin state and forming operation in embedded phase change memory (PCM) (Show >>)
Journal Articles
A Compact Model for Stochastic Spike-Timing-Dependent Plasticity (STDP) Based on Resistive Switching Memory (RRAM) Synapses (Show >>)
A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems (Show >>)
Analytical modeling of electrochemical metallization memory device with dual-layer structure of Ag/AgInSbTe/amorphous C/Pt (Show >>)
Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning (Show >>)
Brain‐Inspired Structural Plasticity through Reweighting and Rewiring in Multi‐Terminal Self‐Organizing Memristive Nanowire Networks (Show >>)
Device and Circuit Architectures for In‐Memory Computing (Show >>)
In-Memory PageRank Accelerator With a Cross-Point Array of Resistive Memories (Show >>)
Integration and co-design of memristive devices and algorithms for artificial intelligence (Show >>)
In‐Memory Eigenvector Computation in Time O (1) (Show >>)
Memristive and CMOS Devices for Neuromorphic Computing (Show >>)
Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories (Show >>)
One-step regression and classification with cross-point resistive memory arrays (Show >>)
Reliability of Logic-in-Memory Circuits in Resistive Memory Arrays (Show >>)
Time Complexity of In-Memory Solution of Linear Systems (Show >>)
Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Brain-Inspired Memristive Neural Networks for Unsupervised Learning (Show >>)
Neuromorphic computing with resistive switching memory devices (Show >>)
Conference proceedings
A compact model of stochastic switching in STT magnetic RAM for memory and computing (Show >>)
A volatile RRAM synapse for neuromorphic computing (Show >>)
Computing of temporal information in spiking neural networks with ReRAM synapses (Show >>)
Electrochemical metallization ReRAMs (ECM) - Experiments and modelling: General discussion (Show >>)
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses (Show >>)
Fast solution of linear systems with analog resistive switching memory (RRAM) (Show >>)
Impact of oxide and electrode materials on the switching characteristics of oxide ReRAM devices (Show >>)
Joule Heating in SiOx RRAM Device Studied by an Integrated Micro-Thermal Stage (Show >>)
Low-energy inference machine with multilevel HfO2 RRAM arrays (Show >>)
Modeling of switching speed and retention time in volatile resistive switching memory by ionic drift and diffusion (Show >>)
Monte Carlo model of resistance evolution in embedded PCM with Ge-rich GST (Show >>)
Phase-change memories (PCM)-Experiments and modelling: General discussion (Show >>)
Physics-based modeling of volatile resistive switching memory (RRAM) for crosspoint selector and neuromorphic computing (Show >>)
Synaptic and neuromorphic functions: General discussion (Show >>)
Valence change ReRAMs (VCM) - Experiments and modelling: General discussion (Show >>)
Journal Articles
A Physics-Based Compact Model of Stochastic Switching in Spin-Transfer Torque Magnetic Memory (Show >>)
Emerging neuromorphic devices (Show >>)
Multilevel HfO2-based RRAM devices for low-power neuromorphic networks (Show >>)
Recommended Methods to Study Resistive Switching Devices (Show >>)
Solving matrix equations in one step with cross-point resistive arrays (Show >>)
Stochastic Memory Devices for Security and Computing (Show >>)
Surface diffusion-limited lifetime of silver and copper nanofilaments in resistive switching devices (Show >>)
Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks (Show >>)
Volatile Resistive Switching Memory Based on Ag Ion Drift/Diffusion - Part II: Compact Modeling (Show >>)
Volatile Resistive Switching Memory Based on Ag Ion Drift/Diffusion Part I: Numerical Modeling (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
Mathematical problem solving circuit comprising resistive elements (Show >>)
Conference proceedings
Brain-inspired recurrent neural network with plastic RRAM synapses (Show >>)
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks (Show >>)
Journal Articles
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP) (Show >>)
Analytical Modeling of Organic-Inorganic CH3 NH3 PbI3 Perovskite Resistive Switching and its Application for Neuromorphic Recognition (Show >>)
Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks (Show >>)
Enhancing the Matrix Addressing of Flexible Sensory Arrays by a Highly Nonlinear Threshold Switch (Show >>)
In-memory computing with resistive switching devices (Show >>)
Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses (Show >>)
Logic Computing with Stateful Neural Networks of Resistive Switches (Show >>)
Modeling of Breakdown-Limited Endurance in Spin-Transfer Torque Magnetic Memory under Pulsed Cycling Regime (Show >>)
Random number generation by differential read of stochastic switching in spin-transfer torque memory (Show >>)
Resistive Switching Device Technology Based on Silicon Oxide for Improved ON–OFF Ratio—Part I: Memory Devices (Show >>)
Silicon Oxide (SiOx): A Promising Material for Resistance Switching? (Show >>)
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity with RRAM Synapses (Show >>)
manifesti v. 3.4.22 / 3.4.22
Area Servizi ICT
16/05/2022