Results 91 to 100 of about 21,729 (293)

Spin Injection Of Exciton–Polaritons With Halide Perovskites At Room Temperature

Advanced Functional Materials, EarlyView.
A monolithic Tamm‐plasmon microcavity embedding a two‐dimensional halide perovskite enables room‐temperature spin injection of exciton‐polaritons under quasi‐resonant optical excitation. Polarization‐resolved spectroscopy reveals partial preservation of the injected spin in the lower polariton branch, while bare excitons remain fully depolarized.
Elena Sendarrubias Arias‐Camisón, Maksim Lednev, Jorge Cuadra, Raúl Gago, Luis Viña, Francisco José García Vidal, Johannes Feist, Ferry Prins, Carlos Antón Solanas   +8 more
wiley   +1 more source

Recent Advances in Optical Reservoir Computing [PDF]

, 2013
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system to carry out information processing. Here we will present an optoelectronic and an all-optical implementation of Reservoir Computers based on an ...
Schneider, BendixUGent0001109252578020011279639766272827023BFB01E6-F0EE-11E1-A9DE-61C894A0A6B4, Serge Massar, Marc Haeltermann, Paquot, Yvan, Haelterman, Marc, Benjamin Schrauwen, Massar, Serge, Dambre, JoniTW068010010829220000-0002-9373-1210F502D5DE-F0ED-11E1-A9DE-61C894A0A6B4, Yvan Paquot, Smerieri, Anteo, Schneider, Bendix, Joni Dambre, Duport, Francois, Francois Duport, Bendix Schneider, Schrauwen, Benjamin, Schrauwen, BenjaminUGent002000766254801001661484977223592626F68590D6-F0ED-11E1-A9DE-61C894A0A6B4, Dambre, Joni, Anteo Smerieri   +18 more
core   +1 more source

Reservoir computing with generalized readout based on generalized synchronization

Scientific Reports
Reservoir computing is a machine learning framework that exploits nonlinear dynamics, exhibiting significant computational capabilities. One of the defining characteristics of reservoir computing is that only linear output, given by a linear combination ...
Akane Ohkubo, Masanobu Inubushi
doaj   +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

Nano-scale reservoir computing [PDF]

Nano Communication Networks, 2013
This work describes preliminary steps towards nano-scale reservoir computing using quantum dots. Our research has focused on the development of an accumulator-based sensing system that reacts to changes in the environment, as well as the development of a software simulation. The investigated systems generate nonlinear responses to inputs that make them
Oliver Obst, Adrian Trinchi, Simon G. Hardin, Matthew Chadwick, Ivan Cole, Tim H. Muster, Nigel Hoschke, Diet Ostry, Don Price, Khoa N. Pham, Tim Wark   +10 more
openaire   +4 more sources

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

System modeling with Reservoir Computing [PDF]

, 2008
Reservoir Computing is a novel technique which can be applied to a wide range of applications. In this work we demonstrate that Reservoir Computing can be used for black box nonlinear system modeling.We will use Reservoir Computing to model the output ...
wyffels, Francis, Stroobandt, Dirk, Schrauwen, Benjamin   +2 more
core   +1 more source

Reservoir Computing for Industrial Applications [PDF]

, 2023
In this bachelor thesis, the field of reservoir computing and its application in the industrial sector is investigated. The main objective of the thesis is to verify the effectiveness and accuracy of the echo state network method in time series ...
Brhel, Jakub
core   +2 more sources

Existence of reservoir with finite-dimensional output for universal reservoir computing

Scientific Reports
In this paper, we prove the existence of a reservoir that has a finite-dimensional output and makes the reservoir computing model universal. Reservoir computing is a method for dynamical system approximation that trains the static part of a model but ...
Shuhei Sugiura, Ryo Ariizumi, Toru Asai, Shun-ichi Azuma   +3 more
doaj   +1 more source

Electrocapillary Modulated Interfacial Tension Amplifies Liquid Metal Transduction

Advanced Functional Materials, EarlyView.
This study presented an electrocapillary‐enhanced magnetohydrodynamic pumping strategy that harnesses the Lorentz force and interfacial tension modulation of liquid metal droplets to achieve amplified fluidic power. The system enabled low‐voltage, self‐oscillating fluidic transduction with enhanced pressure and flow generation, supporting compact ...
Saba Firouznia, Ciqun Xu, Michael D. Dickey, Jonathan Rossiter   +3 more
wiley   +1 more source