Results 91 to 100 of about 17,204,563 (294)

Two Coexisting Pathways to Volatility in Valence‐Change Memory Devices

Advanced Functional Materials, EarlyView.
Volatile VCM‐type memristive devices exhibit current relaxation after resistive switching, but their microscopic origin remains debated. Using pulsed measurements and a new Tunnel‐DLTS approach on Pt/SrTiO3/Nb:SrTiO3 devices, we show that post‐SET volatility is predominantly ionic, while electronic contributions—arising from quasi‐Fermi‐level ...
Johannes Hellwig, Clemens Wittberg, Dimitrios Spithouris, Regina Dittmann   +3 more
wiley   +1 more source

Design and Characterization of Semi-Floating-Gate Synaptic Transistor

Micromachines, 2019
In this work, a study on a semi-floating-gate synaptic transistor (SFGST) is performed to verify its feasibility in the more energy-efficient hardware-driven neuromorphic system. To realize short- and long-term potentiation (STP/LTP) in the SFGST, a poly-
Yongbeom Cho, Jae Yoon Lee, Eunseon Yu, Jae-Hee Han, Myung-Hyun Baek, Seongjae Cho, Byung-Gook Park   +6 more
doaj   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Intermittent Neuromorphic Wearable Systems

2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Wearable medical devices have become a focal point of research and development, particularly for their use in long-term monitoring of patients with chronic diseases. These devices offer significant advantages, including early detection of complications, reduced hospital readmission rates, and overall lower healthcare costs by enabling a more proactive ...
Qazi, Junaid Ahmed, Njor, Emil Jørgensen; id_orcid 0000-0003-0219-1624, Stuart, Matthias Bo; id_orcid 0000-0003-0809-530X, Fafoutis, Xenofon; id_orcid 0000-0002-9871-0013, Orfanidis, Charalampos; id_orcid 0000-0001-6581-314X   +4 more
openaire   +2 more sources

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

2022 roadmap on neuromorphic computing and engineering [PDF]

Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer
Bartolozzi, Chiara, Menzel, Stephan, Valentian, Alexandre, Markovic, Danijela, Le Gallo, Manuel, Thorpe, Simon, Redaelli, Andrea, Scherr, Franz, Christensen, Martin Ejsing, Dittmann, Regina, Liu, Shihchii, Li, Xuan, Milano, Gianluca, Panuccio, Gabriella, Sebastian, Abu, Bhaskaran, Harish, Mizrahi, Alice, Donati, Elisa, Spiga, Sabina, Liang, Shi-Jun, Pernice, Wolfram H. P., Neftci, Emre, Ramaswamy, Srikanth, Keene, Scott T., Posch, Christoph, Cleland, Thomas A., Tanaka, Gouhei, Slesazeck, Stefan, Indiveri, Giacomo, Tolu, Silvia, Yang, J. Joshua, Grollier, Julie, Panda, Priyadarshini, Furber, Steve, Holm, Sune, Maass, Wolfgang, Mahmud, Mufti, Tapson, Jonathan, Hosseini, Morteza, Christensen, Dennis, V, Galeazzi, Roberto, Feldmann, Johannes, Mohsenin, Tinoosh, Mazumder, Arnab Neelim, Salleo, Alberto, Yao, Peng, Kim, Youngeun, Datta, Suman, Lanza, Mario, Quill, Tyler J., Mikolajick, Thomas, Miao, Feng, Ielmini, Daniele, Pryds, N., Valov, Ilia, Ricciardi, Carlo, Vianello, Elisa, Strachan, John Paul, Linares-Barranco, Bernabe   +58 more
core   +1 more source

Compensated Synaptic Device for Improved Recognition Accuracy of Neuromorphic System

IEEE Journal of the Electron Devices Society, 2018
To improve a pattern recognition accuracy of synaptic device-based neuromorphic system, we tried to obtain symmetric conductance changes between conductance increase process (potentiation) and conductance decrease process (depression).
Chuljun Lee, Sang-Mo Koo, Jong-min Oh, Daeseok Lee   +3 more
doaj   +1 more source

Discovery of Energy‐Localized Trap States via Opto‐Electrical Spectroscopy in UWBG Perovskite La:SrSnO3 FETs

Advanced Functional Materials, EarlyView.
Combined UV–vis transmittance and wavelength‐dependent photo‐assisted DC I–V analyses reveal defect‐induced optical instability and a high density of deep donor‐like subgap traps in La‐doped SrSnO3. The resulting MOSFET achieves one of the highest on/off ratios reported for ABO3 perovskite devices, demonstrating the promise of stannate perovskites as ...
Sojin Jung, Junghyun Koo, Hongseung Lee, Donghwan Kim, Dongho Won, Weideng Sun, Jaewook Yoo, Minah Park, Seohyeon Park, Seongbin Lim, Joonsung Lee, Sungjune Park, Sangmoon Yoon, Tae Wan Kim, Bharat Jalan, Gang Qiu, Kiyoung Lee, Hagyoul Bae   +17 more
wiley   +1 more source

Generative Data for Neuromorphic Computing [PDF]

Neuromorphic computing is a next-generation model of computation that leverages biologically-inspired artificial neurons to perform complex tasks. Unlike neurons found within traditional Artificial Neural Networks (ANNs), which output on a continuous ...
Bihl, Trevor, Baietto, Anthony
core   +1 more source

Self-revival iontronic neuromorphic devices for robust human-machine interaction

npj Flexible Electronics
Flexible neuromorphic devices exhibit substantial promise for applications in next-generation intelligent human-machine interaction systems. While, the primary hurdle for flexible neuromorphic devices lies in functional impairment arising from mechanical
Yanfei Li, Jiayi Chen, Shilin Tang, Chenxi Zhu, Zhanpeng Hong, Xuefeng Lin, Xiang He, Jianyu Ming, Ning Liu, Linghai Xie, Haifeng Ling   +10 more
doaj   +1 more source