Results 161 to 170 of about 420,618 (277)

Monolithic Co‐Integration of Vertical FET and Memristor for 1T1R Cell

Advanced Electronic Materials, EarlyView.
This work demonstrates a vertically integrated one‐transistor–one‐memristor (1T1R) cell by stacking a MoS2 vertical field‐effect transistor (VFET) with a mortise–tenon‐shaped (MTS) memristor. This compact architecture not only exhibits highly uniform resistive switching characteristics but also provides a strategy for constructing densely packed ...
Fubo Jiao, Weiqi Dang, Gong‐Jie Ruan, Jiameng Sun, Xiaoyu Sun, Dehe Kong, Yinzhi Huang, Yuxuan Yuan, Qin Liu, Sicheng Chen, Long Zhao, Cong Wang, Pengfei Wang, Chen Pan, Yajun Fu, Shi‐Jun Liang   +15 more
wiley   +1 more source

The SLO Hierarchy of Pseudo-Boolean Functions and Runtime of Evolutionary Algorithms. [PDF]

Algorithmica
Dang DC, Lehre PK.
europepmc   +1 more source

Evaluation of average bit error rate for wireless networks with alpha-stable interference

, 2014
V. Aalo, K. Peppas, G. Efthymoglou, Mohammed M. Alwakeel, S. Alwakeel   +4 more
semanticscholar   +1 more source

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

Advanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter, Ahmet Samil Demirkol, Ioannis Messaris, Christian Bruchatz, Eter Mgeladze, Stefan Slesazeck, Thomas Mikolajick, Ronald Tetzlaff   +7 more
wiley   +1 more source

A quantum approximate optimization method for finding Hadamard matrices. [PDF]

Sci Rep
Suksmono AB.
europepmc   +1 more source

Bit Error Probability of Space-Shift Keying MIMO Over Multiple-Access Independent Fading Channels

IEEE Transactions on Vehicular Technology, 2011
M. Renzo, H. Haas
semanticscholar   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Multi-State Probabilistic Computing Using Floating-Body MOSFETs Based on the Potts Model for Solving Complex Combinatorial Optimization Problems. [PDF]

Adv Mater
Cheong S, Lee SH, Han J, Park JY, Shin DH, Jang YH, Shim SK, Kim S, Hwang CS, Han JK.   +9 more
europepmc   +1 more source

In‐Sensor Computing by Soft Threshold Logic Gates Under Different Humidity Conditions

Advanced Electronic Materials, EarlyView.
Soft nanocomposite materials, based on gold cluster‐assembled thin films implanted in polydimethylsiloxane substrate, can perform reliable processing in ambient environmental conditions. Humidity influences the resistive switching and computational capabilities of the nanocomposites, that can be used as multifunctional material combining sensing ...
Giacomo Nadalini, Paolo Milani, Francesca Borghi   +2 more
wiley   +1 more source

Enhancing quantum audio watermarking security through joint verification and certification. [PDF]

Sci Rep
Xing Z, Lam CT, Yuan X.
europepmc   +1 more source