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Physical Reservoir Computing Based on Nanoscale Materials and Devices

ADVANCED FUNCTIONAL MATERIALS (2023)

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Article Physics, Applied

Charge trapping at the MoS2-SiO2 interface and its effects on the characteristics of MoS2 metal-oxide-semiconductor field effect transistors

Yao Guo et al.

APPLIED PHYSICS LETTERS (2015)

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Article Engineering, Biomedical

Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems

Adrien F. Vincent et al.

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2015)

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Article Nanoscience & Nanotechnology

Atomic switch networks-nanoarchitectonic design of a complex system for natural computing

E. C. Demis et al.

NANOTECHNOLOGY (2015)

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Article Nanoscience & Nanotechnology

Evolution of a designless nanoparticle network into reconfigurable Boolean logic

S. K. Bose et al.

NATURE NANOTECHNOLOGY (2015)

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Review Multidisciplinary Sciences

Machine learning: Trends, perspectives, and prospects

M. I. Jordan et al.

SCIENCE (2015)

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Article Multidisciplinary Sciences

Information processing via physical soft body

Kohei Nakajima et al.

SCIENTIFIC REPORTS (2015)

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Article Chemistry, Multidisciplinary

Programmability of nanowire networks

A. T. Bellew et al.

NANOSCALE (2014)

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Article Multidisciplinary Sciences

Experimental demonstration of reservoir computing on a silicon photonics chip

Kristof Vandoorne et al.

NATURE COMMUNICATIONS (2014)

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Article Nanoscience & Nanotechnology

A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing

Henry O. Sillin et al.

NANOTECHNOLOGY (2013)

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Article Chemistry, Multidisciplinary

Emergent Criticality in Complex Turing B-Type Atomic Switch Networks

Adam Z. Stieg et al.

ADVANCED MATERIALS (2012)

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Article Multidisciplinary Sciences

Neuromorphic Atomic Switch Networks

Audrius V. Avizienis et al.

PLOS ONE (2012)

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Article Multidisciplinary Sciences

Optoelectronic Reservoir Computing

Y. Paquot et al.

SCIENTIFIC REPORTS (2012)

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Article Multidisciplinary Sciences

Information processing using a single dynamical node as complex system

L. Appeltant et al.

NATURE COMMUNICATIONS (2011)

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Article Computer Science, Information Systems

Reservoir computing approaches to recurrent neural network training

Mantas Lukosevicius et al.

COMPUTER SCIENCE REVIEW (2009)

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Article Multidisciplinary Sciences

Self-sorted, aligned nanotube networks for thin-film transistors

Melburne C. LeMieux et al.

SCIENCE (2008)

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Review Chemistry, Physical

Nanoionics-based resistive switching memories

RaineR Waser et al.

NATURE MATERIALS (2007)

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Article Computer Science, Artificial Intelligence

Analysis and design of echo state networks

Mustafa C. Ozturk et al.

NEURAL COMPUTATION (2007)

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Review Biochemical Research Methods

Machine learning in bioinformatics

Pedro Larranaga et al.

BRIEFINGS IN BIOINFORMATICS (2006)

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Review Chemistry, Analytical

Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research

S Agatonovic-Kustrin et al.

JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS (2000)

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