Results 71 to 80 of about 31,264 (300)

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

Advanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee, Sofía Cruces, Xiaohua Liu, Yang Chen, Vasilis A. Maroufidis, Janghyun Jo, Lukas Völkel, Dennis Braun, Michael Möller, Leon Brackmann, Holger Kalisch, Michael Heuken, Andrei Vescan, Rafal E. Dunin‐Borkowski, Joachim Mayer, Stefan Wiefels, Max C. Lemme   +16 more
wiley   +1 more source

Investigation of the mechanism of the anomalous Hall effects in Cr2Te3/(BiSb)2(TeSe)3 heterostructure

Nano Convergence, 2023
The interplay between ferromagnetism and the non-trivial topology has unveiled intriguing phases in the transport of charges and spins. For example, it is consistently observed the so-called topological Hall effect (THE) featuring a hump structure in the
Seong Won Cho, In Hak Lee, Youngwoong Lee, Sangheon Kim, Yeong Gwang Khim, Seung-Young Park, Younghun Jo, Junwoo Choi, Seungwu Han, Young Jun Chang, Suyoun Lee   +10 more
doaj   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Energy Efficient Neuromorphic Computing with beyond-CMOS Oscillatory Neural Networks

, 2021
International audienceOscillatory Neural Networks (ONNs) are non-von Neumann architectures where information is encoded in phase relations between coupled oscillators. In this work, we present the concept of ONN based on beyond-CMOS devices to reduce the
Delacour, Corentin, Carapezzi, Stefania, Boschetto, Gabriele, Todri-Sanial, Aida   +3 more
core   +3 more sources

Drone-Based Sound Source Localization: A Systematic Literature Review

IEEE Access
Sound source localization (SSL) using microphones mounted on uncrewed aerial vehicles (UAVs) holds significant potential for tasks ranging from search-and-rescue and gunshot detection to industrial inspection and wildlife monitoring, particularly in ...
Sergio F. SERGIOCHEVTCHENKO, Belman Jahir Rodriguez, Rafaella Vale, Abishek Soti, Yeshwanth Bethi, Naqib Ibnul, Alexandre Marcireau, Mostafa Rahimi Azghadi, Andrew Wabnitz, Saeed Afshar   +9 more
doaj   +1 more source

Digit Classification using Biologically Plausible Neuromorphic Vision [PDF]

Despite tremendous advancement in computer vision, especially with deep learning, understanding scenes in the wild remains challenging. Even modern image classification models often misclassify when presented with out-of-distribution inputs despite ...
Rainey, James, Appiah, Kofi, Maier, Patrick, Bhowmik, Deepayan, Gheorghiu, Elena   +4 more
core   +1 more source

Fully Additive Vertical Organic Electrochemical Transistors on Renewable and Compostable Substrates Enable Ultrasensitive Bioelectronics

Advanced Functional Materials, EarlyView.
Fully additive vertical organic electrochemical transistors (vOECTs) with channel‐length of 226 nm on a 50 µm compostable substrate achieve >106 current modulation and ∼36 mS transconductance. Ion‐selective integration enables 1.1 mA dec−1 sensitivity and 36 µm detection limit, highlighting a scalable platform for sustainable electronics and ...
Giulia Frusconi, Samuele Lavelli, Zsolt M. Kovács‐Vajna, Fabrizio Torricelli   +3 more
wiley   +1 more source

Exploring olfactory sensory networks: Simulations and hardware emulation [PDF]

, 2010
Olfactory stimuli are represented in a highdimensional space by neural networks of the olfactory system. A great deal of research in olfaction has focused on this representation within the first processing stage, the olfactory bulb (vertebrates) or ...
Beyeler, Michael, Galizia, G, Fabio Stefanini, Henning Proske, Beyeler, M., Chicca, Elisabetta, Proske, H., Giovanni Galizia, Beyeler, M, Michael Beyeler, Chicca, E, Galizia, C. Giovanni, Stefanini, F., Proske, Henning, Proske, H, Elisabetta Chicca, Galizia, G., Stefanini, Fabio, Chicca, Elisabetta ; https://orcid.org/, Stefanini, F   +19 more
core   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Exploring Neuromodulation for Dynamic Learning

Frontiers in Neuroscience, 2020
A continual learning system requires the ability to dynamically adapt and generalize to new tasks with access to only a few samples. In the central nervous system, across species, it is observed that continual and dynamic behavior in learning is an ...
Anurag Daram, Angel Yanguas-Gil, Dhireesha Kudithipudi   +2 more
doaj   +1 more source