Gold Substrate Plays Boosts Performance of Tellurium-Based Memristors


A new technical paper titled "Non-Volatile Resistive Switching in Nanoscaled Elemental Tellurium by Vapor Transport Deposition on Gold" was published by researchers at Politecnico di Milano, UT Austin, and STMicroelectronics. Abstract: "Two-dimensional (2D) materials are promising for resistive switching in neuromorphic and in-memory computing, as their atomic thickness substantially impr... » read more

Memristors: Flexible Behavioral Model ( Israel Institute of Technology)


A new technical paper titled "VVTEAM: A Compact Behavioral Model for Volatile Memristors" was published by researchers at Technion – Israel Institute of Technology. Abstract "Volatile memristors have recently gained popularity as promising devices for neuromorphic circuits, capable of mimicking the leaky function of neurons and offering advantages over capacitor-based circuits in terms of... » read more

Memory Fundamentals For Engineers


Memory is one of a very few elite electronic components essential to any electronic system. Modern electronics perform extraordinarily complex duties that would be impossible without memory. Your computer obviously contains memory, but so does your car, your smartphone, your doorbell camera, your entertainment system, and any other gadget benefiting from digital electronics. This eBook prov... » read more

Research Bits: June 25


Quantum on silicon Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) developed a platform to probe and control qubits in silicon for quantum networks, after an earlier discovery that defects in silicon could be used to send and store quantum information over widely used telecommunications wavelengths. The device uses an electric diode to manipulate... » read more

Research Bits: May 28


Nanofluidic memristive neural networks Engineers from EPFL developed a functional nanofluidic memristive device that relies on ions, rather than electrons and holes, to compute and store data. “Memristors have already been used to build electronic neural networks, but our goal is to build a nanofluidic neural network that takes advantage of changes in ion concentrations, similar to living... » read more

Memristor Crossbar Architecture for Encryption, Decryption and More


A new technical paper titled "Tunable stochastic memristors for energy-efficient encryption and computing" was published by researchers at Seoul National University, Sandia National Laboratories, Texas A&M University and Applied Materials. Abstract "Information security and computing, two critical technological challenges for post-digital computation, pose opposing requirement... » read more

Research Bits: April 16


Tunable thermal conductivity in memristors Researchers from the Center for Research in Biological Chemistry and Molecular Materials (CiQUS) and Forschungszentrum Juelich discovered that oxide-based memristive devices can demonstrate tunable thermal conductivity. Alongside the memristor's electrical resistive switching, a thermal resistive switching effect also occurs at the metal-oxide inte... » read more

Resistive Switching Analysis In Titanium Oxide-Based Memristors Including Surface Scanning Thermal Microscopy


A technical paper titled “Thermal Compact Modeling and Resistive Switching Analysis in Titanium Oxide-Based Memristors” was published by researchers at Universidad de Granada, Leibniz-Institut für innovative Mikroelektronik, Universidad Politécnicade Madrid, University of Twente, King Abdullah University of Science and Technology (KAUST), and Universitat de Barcelona. Abstract: "Resist... » read more

Research Bits: Feb. 27


Phonon-magnon reservoir Researchers from TU Dortmund, Loughborough University, V. E. Lashkaryov Institute of Semiconductor Physics, and University of Nottingham were inspired by the human eye to propose an on-chip phonon-magnon reservoir for neuromorphic computing. In reservoir computing, input signals are mapped into a multidimensional space, which is not trained and only expedites recogni... » read more

Research Bits: Jan. 23


Memristor-based Bayesian neural network Researchers from CEA-Leti, CEA-List, and CNRS built a complete memristor-based Bayesian neural network implementation for classifying types of arrhythmia recordings with precise aleatoric and epistemic uncertainty. While Bayesian neural networks are useful for at sensory processing applications based on a small amount of noisy input data because they ... » read more

← Older posts