English
Related papers

Related papers: Parylene Based Memristive Devices with Multilevel …

200 papers

In this paper we present a biorealistic model for the first part of the early vision processing by incorporating memristive nanodevices. The architecture of the proposed network is based on the organisation and functioning of the outer…

Computer Vision and Pattern Recognition · Computer Science 2015-06-03 Andras Gelencser , Themistoklis Prodromakis , Christofer Toumazou , Tamas Roska

Metal halide perovskite-based materials have emerged over the past few decades as remarkable solution-processable opto-electronic materials with many intriguing properties and potential applications. These emerging materials have recently…

Applied Physics · Physics 2023-03-07 Gaurav Vats , Brett Hodges , Andrew J. Ferguson , Lance Wheeler , Jeffrey L. Blackburn

The rapid growth of digital technology has driven the need for efficient storage solutions, positioning memristors as promising candidates for next-generation non-volatile memory (NVM) due to their superior electrical properties. Organic…

Enhancing the switching speed of oxide-based memristive devices at a low voltage level is crucial for their use as non-volatile memory and their integration into emerging computing paradigms such as neuromorphic computing. Efforts to…

This study explores the impact of organic cations in bismuth iodide complexes on their memristive behavior in metal-insulator-metal (MIM) type thin-layer devices. The presence of electron-donating and electron withdrawing functional groups…

Robotically steerable compliant surgical tools offer several advantages over rigid tools, including enhanced dexterity, reduced tissue damage, and the ability to generate non-linear trajectories in minimally invasive neurosurgical…

Robotics · Computer Science 2025-12-23 Nidhi Malhotra , Amber K. Rothe , Revanth Konda , Jaydev P. Desai

The resistance state of filamentary memristors can be tuned by relocating only a few atoms at interatomic distances in the active region of a conducting filament. Thereby the technology holds promise not only in its ultimate downscaling…

Mesoscale and Nanoscale Physics · Physics 2023-06-08 Miklós Csontos , Yannik Horst , Nadia Jimenez Olalla , Ueli Koch , Ivan Shorubalko , András Halbritter , Juerg Leuthold

Phase change memory has been developed into a mature technology capable of storing information in a fast and non-volatile way, with potential for neuromorphic computing applications. However, its future impact in electronics depends…

The key feature of a memristor is that the resistance is a function of its previous resistance, thereby the behaviour of the device is influenced by changing the way in which potential is applied across it. Ultimately, information can be…

Emerging Technologies · Computer Science 2020-05-22 Alexander E. Beasley , Mohammed-Salah Abdelouahab , René Lozi , Anna L. Powell , Andrew Adamatzky

The transition to smart wearable and flexible optoelectronic devices communicating with each other and performing neuromorphic computing at the edge is a big goal in next-generation optoelectronics. These devices should perform their…

I present a review of both experimental and theoretical studies performed during the recent three years, which deal with the physical properties and possible applications of graphene placed on ferroelectric (organic or Pb(ZrxTi1-x)O3 (PZT)…

Mesoscale and Nanoscale Physics · Physics 2015-06-05 Maksym Strikha

The thesis investigates the utilization of memristive and memcapacitive crossbar arrays in low-power machine learning accelerators, offering a comprehensive co-design framework for deep neural networks (DNN). The model, implemented through…

Neural and Evolutionary Computing · Computer Science 2024-03-06 Ankur Singh

Inspired by the dendritic integration and spiking operation of a biological neuron, flexible oxide-based neuron transistors gated by solid-state electrolyte films are fabricated on flexible plastic substrates for biochemical sensing…

Materials Science · Physics 2015-05-20 Ning Liu , Li Qiang Zhu , Ping Feng , Chang Jin Wan , Yang Hui Liu , Yi Shi , Qing Wan

Memristive devices are promising elements for energy-efficient neuromorphic computing and future artificial intelligence systems. For diffusive memristors, the device state switching occurs because of the sequential formation and…

Materials Science · Physics 2022-02-14 D. P Pattnaik , Y. Ushakov , Z. Zhou , P. Borisov , M. D Cropper , U. W. Wijayantha , A. G. Balanov , S. E Savel'ev

We report a memristive switching effect in the Pt/CuOx/Si/Pt devices prepared by rf sputtering technique at room temperature. Different from other Cu-based switching systems, the devices show a non-filamentary switching effect. A gradual…

Materials Science · Physics 2013-07-23 L. L. Wei , D. S. Shang , J. R. Sun , S. B. Lee , Z. G. Sun , B. G. Shen

Electrophysiological techniques have improved substantially over the past years to the point that neuroprosthetics applications are becoming viable. This evolution has been fuelled by the advancement of implantable microelectrode…

Emerging Technologies · Computer Science 2017-07-28 Isha Gupta , Alexantrou Serb , Ali Khiat , Maria Trapatseli , Themistoklis Prodromakis

Memristive devices hold promise to improve the scale and efficiency of machine learning and neuromorphic hardware, thanks to their compact size, low power consumption, and the ability to perform matrix multiplications in constant time.…

Emerging Technologies · Computer Science 2024-08-14 Zhenming Yu , Ming-Jay Yang , Jan Finkbeiner , Sebastian Siegel , John Paul Strachan , Emre Neftci

Programmable and reconfigurable optics hold significant potential for transforming a broad spectrum of applications, spanning space explorations to biomedical imaging, gas sensing, and optical cloaking. The ability to adjust the optical…

Previously, we demonstrated hysteretic and persistent changes of resistivity in two-terminal electronic devices based on charge trapping and detrapping at immobile metastable defects [H. Yin, A. Kumar, J.M. LeBeau, and R. Jaramillo, Phys.…

Materials Science · Physics 2024-07-16 Jiahao Dong , R. Jaramillo

Metastructured auxetic patches, characterized by negative Poisson's ratios, offer unique mechanical properties that closely resemble the behavior of human tissues and organs. As a result, these patches have gained significant attention for…

Machine Learning · Computer Science 2025-01-14 Yingbin Chen , Milad Arzani , Xuan Mu , Sophia Jin , Shaoping Xiao
‹ Prev 1 3 4 5 6 7 10 Next ›