Books
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Editorials
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Journals
2.
Chatzinikolaou T P, Fyrigos I, Ntinas V, Kitsios S, Tsompanas M, Bousoulas P, Tsoukalas D, Adamatzky A, Sirakoulis G C
Chemical Wave Computing from Labware to Electrical Systems Journal Article
In: Electronics, vol. 11, no. 11, pp. 1683, 2022.
@article{chatzinikolaou2022chemical,
title = {Chemical Wave Computing from Labware to Electrical Systems},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Stavros Kitsios and Michail-Antisthenis Tsompanas and Panagiotis Bousoulas and Dimitris Tsoukalas and Andrew Adamatzky and Georgios Ch Sirakoulis},
year = {2022},
date = {2022-01-01},
journal = {Electronics},
volume = {11},
number = {11},
pages = {1683},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
1.
Bousoulas P, Kitsios S, Chatzinikolaou T P, Fyrigos I, Ntinas V, Tsompanas M, Sirakoulis G C, Tsoukalas D
Material design strategies for emulating neuromorphic functionalities with resistive switching memories Journal Article
In: Japanese Journal of Applied Physics, 2022.
@article{bousoulas2022material,
title = {Material design strategies for emulating neuromorphic functionalities with resistive switching memories},
author = {Panagiotis Bousoulas and Stavros Kitsios and Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Michail-Antisthenis Tsompanas and Georgios Ch Sirakoulis and Dimitrios Tsoukalas},
year = {2022},
date = {2022-01-01},
journal = {Japanese Journal of Applied Physics},
publisher = {IOP Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Conferences
12.
Chatzinikolaou T P, Fyrigos I, Ntinas V, Kitsios S, Bousoulas P, Tsompanas M, Tsoukalas D, Adamatzky A, Sirakoulis G Ch
Margolus Chemical Wave Logic Gate with Memristive Oscillatory Networks Proceedings Article
In: 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), pp. 1–6, IEEE IEEE, 2022.
@inproceedings{chatzinikolaou2022margolus,
title = {Margolus Chemical Wave Logic Gate with Memristive Oscillatory Networks},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Stavros Kitsios and Panagiotis Bousoulas and Michail-Antisthenis Tsompanas and Dimitris Tsoukalas and Andrew Adamatzky and Georgios Ch. Sirakoulis},
url = {https://ieeexplore.ieee.org/abstract/document/9665632},
doi = {https://doi.org/10.1109/ICECS53924.2021.9665632},
year = {2022},
date = {2022-01-10},
urldate = {2022-01-10},
booktitle = {2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS)},
pages = {1--6},
publisher = {IEEE},
organization = {IEEE},
abstract = {As conventional computing systems are striving to increase their performance in order to compensate for the growing demand of solving difficult problems, emergent and unconventional computing approaches are being developed to provide alternatives on efficiently solving a plethora of those complex problems. Chemical computers which use chemical reactions as their main characteristic can be strong candidates for these new approaches. Oscillating networks of novel nano-devices like memristors are also able to perform calculations with their rich dynamics and their strong memory and computing features. In this work, the combination of the aforementioned approaches is achieved that capitalizes on the threshold switching mechanism of low-voltage CBRAM devices to establish a memristive oscillating circuitry that is able to act as a chemical reaction - diffusion system through the network nodes' interactions. The propagation of the voltage signals throughout the medium can be used to establish a mechanism for specific logic operations according to the desired logic function leading to the nano-implementation of Margolus chemical wave logic gate.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
As conventional computing systems are striving to increase their performance in order to compensate for the growing demand of solving difficult problems, emergent and unconventional computing approaches are being developed to provide alternatives on efficiently solving a plethora of those complex problems. Chemical computers which use chemical reactions as their main characteristic can be strong candidates for these new approaches. Oscillating networks of novel nano-devices like memristors are also able to perform calculations with their rich dynamics and their strong memory and computing features. In this work, the combination of the aforementioned approaches is achieved that capitalizes on the threshold switching mechanism of low-voltage CBRAM devices to establish a memristive oscillating circuitry that is able to act as a chemical reaction - diffusion system through the network nodes' interactions. The propagation of the voltage signals throughout the medium can be used to establish a mechanism for specific logic operations according to the desired logic function leading to the nano-implementation of Margolus chemical wave logic gate.
11.
Chatzinikolaou T P, Karamani R, Sirakoulis G C
Irregular Learning Cellular Automata for the Resolution of Complex Logic Puzzles Proceedings Article
In: International Conference on Cellular Automata for Research and Industry, pp. 356–367, Springer 2022.
@inproceedings{chatzinikolaou2022irregular,
title = {Irregular Learning Cellular Automata for the Resolution of Complex Logic Puzzles},
author = {Theodoros Panagiotis Chatzinikolaou and Rafailia-Eleni Karamani and Georgios Ch Sirakoulis},
year = {2022},
date = {2022-01-01},
booktitle = {International Conference on Cellular Automata for Research and Industry},
pages = {356--367},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
10.
Tsompanas M, Chatzinikolaou T P, Sirakoulis G C
Cellular Automata Application on Chemical Computing Logic Circuits Proceedings Article
In: International Conference on Cellular Automata for Research and Industry, pp. 3–14, Springer 2022.
@inproceedings{tsompanas2022cellular,
title = {Cellular Automata Application on Chemical Computing Logic Circuits},
author = {Michail-Antisthenis Tsompanas and Theodoros Panagiotis Chatzinikolaou and Georgios Ch Sirakoulis},
year = {2022},
date = {2022-01-01},
booktitle = {International Conference on Cellular Automata for Research and Industry},
pages = {3--14},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
9.
Chatzinikolaou T P, Fyrigos I, Ntinas V, Kitsios S, Bousoulas P, Tsompanas M, Tsoukalas D, Adamatzky A, Sirakoulis G C
Memristor-based Oscillator for Complex Chemical Wave Logic Computations: Fredkin Gate Paradigm Proceedings Article
In: 2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS), pp. 1–4, IEEE 2022.
@inproceedings{chatzinikolaou2022memristor,
title = {Memristor-based Oscillator for Complex Chemical Wave Logic Computations: Fredkin Gate Paradigm},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Stavros Kitsios and Panagiotis Bousoulas and Michail-Antisthenis Tsompanas and Dimitris Tsoukalas and Andrew Adamatzky and Georgios Ch Sirakoulis},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS)},
pages = {1--4},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
8.
Chatzinikolaou T P, Fyrigos I, Sirakoulis G C
Image Shifting Tracking Leveraging Memristive Devices Proceedings Article
In: 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1–4, IEEE 2022.
@inproceedings{chatzinikolaou2022image,
title = {Image Shifting Tracking Leveraging Memristive Devices},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Georgios Ch Sirakoulis},
year = {2022},
date = {2022-01-01},
booktitle = {2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)},
pages = {1--4},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
7.
Chatzinikolaou T P, Fyrigos I, Ntinas V, Kitsios S, Bousoulas P, Tsompanas M, Tsoukalas D, Sirakoulis G Ch
Multifunctional Spatially-Expanded Logic Gate for Unconventional Computations with Memristor-Based Oscillators Proceedings Article
In: 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), pp. 1–5, IEEE 2021.
@inproceedings{chatzinikolaou2021multifunctional,
title = {Multifunctional Spatially-Expanded Logic Gate for Unconventional Computations with Memristor-Based Oscillators},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Stavros Kitsios and Panagiotis Bousoulas and Michail-Antisthenis Tsompanas and Dimitris Tsoukalas and Georgios Ch. Sirakoulis},
url = {https://ieeexplore.ieee.org/document/9610749},
doi = {10.1109/CNNA49188.2021.9610749},
year = {2021},
date = {2021-11-26},
urldate = {2021-11-26},
booktitle = {2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)},
pages = {1--5},
organization = {IEEE},
abstract = {There is a great variety of unconventional computing approaches trying to compete with and even surpass the classical computers in providing a solution to high complexity problems. Unconventional computation functionality has been verified and implemented successfully on chemical reactions, paving the way to the development of Chemical Computers. This functionality is investigated here, aiming to transfer chemical reaction's working principle on a circuit capable of processing information, involving the interaction of propagating voltage signals in a geometrically constrained electrical medium. In this work such a circuit has been developed utilizing Memristor-Resistor-Capacitor (MemRC) oscillators and their computing capabilities have been verified by demonstrating multiple Boolean logic calculations in the same medium. More specifically, a variety of Boolean gates is implemented in a versatile topology of oscillating nodes, exploiting the same electrical medium geometry.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
There is a great variety of unconventional computing approaches trying to compete with and even surpass the classical computers in providing a solution to high complexity problems. Unconventional computation functionality has been verified and implemented successfully on chemical reactions, paving the way to the development of Chemical Computers. This functionality is investigated here, aiming to transfer chemical reaction's working principle on a circuit capable of processing information, involving the interaction of propagating voltage signals in a geometrically constrained electrical medium. In this work such a circuit has been developed utilizing Memristor-Resistor-Capacitor (MemRC) oscillators and their computing capabilities have been verified by demonstrating multiple Boolean logic calculations in the same medium. More specifically, a variety of Boolean gates is implemented in a versatile topology of oscillating nodes, exploiting the same electrical medium geometry.
6.
Chatzinikolaou T P, Fyrigos I, Ntinas V, Kitsios S, Bousoulas P, Tsompanas M, Tsoukalas D, Sirakoulis G Ch
Memristive Oscillatory Networks for Computing: The Chemical Wave Propagation Paradigm Proceedings Article
In: 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), pp. 1–5, IEEE 2021.
@inproceedings{chatzinikolaou2021memristive,
title = {Memristive Oscillatory Networks for Computing: The Chemical Wave Propagation Paradigm},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Stavros Kitsios and Panagiotis Bousoulas and Michail-Antisthenis Tsompanas and Dimitris Tsoukalas and Georgios Ch. Sirakoulis},
url = {https://ieeexplore.ieee.org/document/9610785},
doi = {10.1109/CNNA49188.2021.9610785},
year = {2021},
date = {2021-11-26},
urldate = {2021-11-26},
booktitle = {2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)},
pages = {1--5},
organization = {IEEE},
abstract = {During the last decade, there is an ever-growing concern regarding the future of CMOS technology, as well as the emerging difficulties on handling upcoming technological issues related with silicon transistors' dimensions, electrical power, energy consumption, and last but not least reaching the physical limits of this technology. At the same time, new computing alternatives beyond the classical computing systems, namely von Neumman architectures, are heavily sought after to tackle energy and memory-wall problems. In this talk, we focus on a hybrid analogue computational circuit-level system with unipolar memristor nanodevices connected in oscillatory networks and based on wave-like propagation of information. These methods are inspired by biochemical processes occurring in nature. The proposed insightful electrochemical wave propagation is apparent in many natural and biological systems and is modelled with powerful, inherently parallel computational tools, like Cellular Automata (CAs). This framework enables us to further proceed into realising alternative types of computations executed on the designed, modelled and fabricated memristor nanodevices, which are finally employed for the design and development of wave based electronic computational units. The proposed nanoelectronic memristive oscillatory networks will be in the advantageous position to perform both classical and unconventional calculations, like multi-digit, in memory and neuromorphic, to name a few of them. Thus, we will have a powerful tool targeting beyond the existing von Neumann information processing techniques and alleviating the aforementioned disadvantages associated with them.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
During the last decade, there is an ever-growing concern regarding the future of CMOS technology, as well as the emerging difficulties on handling upcoming technological issues related with silicon transistors' dimensions, electrical power, energy consumption, and last but not least reaching the physical limits of this technology. At the same time, new computing alternatives beyond the classical computing systems, namely von Neumman architectures, are heavily sought after to tackle energy and memory-wall problems. In this talk, we focus on a hybrid analogue computational circuit-level system with unipolar memristor nanodevices connected in oscillatory networks and based on wave-like propagation of information. These methods are inspired by biochemical processes occurring in nature. The proposed insightful electrochemical wave propagation is apparent in many natural and biological systems and is modelled with powerful, inherently parallel computational tools, like Cellular Automata (CAs). This framework enables us to further proceed into realising alternative types of computations executed on the designed, modelled and fabricated memristor nanodevices, which are finally employed for the design and development of wave based electronic computational units. The proposed nanoelectronic memristive oscillatory networks will be in the advantageous position to perform both classical and unconventional calculations, like multi-digit, in memory and neuromorphic, to name a few of them. Thus, we will have a powerful tool targeting beyond the existing von Neumann information processing techniques and alleviating the aforementioned disadvantages associated with them.
5.
Chatzinikolaou T P, Fyrigos I, Ntinas V, Kitsios S, Bousoulas P, Tsompanas M, Tsoukalas D, Sirakoulis G Ch
Unconventional Logic on Memristor-Based Oscillatory Medium Proceedings Article
In: 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1–4, IEEE 2021.
@inproceedings{chatzinikolaou2021unconventional,
title = {Unconventional Logic on Memristor-Based Oscillatory Medium},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Stavros Kitsios and Panagiotis Bousoulas and Michail-Antisthenis Tsompanas and Dimitris Tsoukalas and Georgios Ch. Sirakoulis},
url = {https://ieeexplore.ieee.org/document/9493412},
doi = {10.1109/MOCAST52088.2021.9493412},
year = {2021},
date = {2021-07-27},
urldate = {2021-07-27},
booktitle = {2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)},
pages = {1--4},
organization = {IEEE},
abstract = {Unconventional computing systems, inspired by nature's mechanisms, provide new ways to efficiently perform several rather complex computations. Instead of the commonly used digital computing systems, a well-known unconventional approach is the utilisation of oscillating networks to execute computations. The rich dynamics of such networks can be exploited in nanoelectronic-scale by novel devices, like memristors that incorporate inherent memory features and computing capabilities. In this work, the threshold switching mechanism of low-voltage forming-free CBRAM devices is used to develop memristor-based oscillators, which are able to function as a medium for oscillation-based computations. Given the local diffusive coupling of the proposed memristor-based oscillators, the medium is capable of performing Boolean computations through oscillation interactions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Unconventional computing systems, inspired by nature's mechanisms, provide new ways to efficiently perform several rather complex computations. Instead of the commonly used digital computing systems, a well-known unconventional approach is the utilisation of oscillating networks to execute computations. The rich dynamics of such networks can be exploited in nanoelectronic-scale by novel devices, like memristors that incorporate inherent memory features and computing capabilities. In this work, the threshold switching mechanism of low-voltage forming-free CBRAM devices is used to develop memristor-based oscillators, which are able to function as a medium for oscillation-based computations. Given the local diffusive coupling of the proposed memristor-based oscillators, the medium is capable of performing Boolean computations through oscillation interactions.
4.
Tsakalos , Karolos-Alexandros , Ntinas V, Karamani R, Fyrigos I, Chatzinikolaou T P, Vasileiadis N, Dimitrakis P, Provata A, Sirakoulis G Ch
Emergence of Chimera States with Re-programmable Memristor Crossbar Arrays Proceedings Article
In: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, IEEE 2021.
@inproceedings{tsakalos2021emergence,
title = {Emergence of Chimera States with Re-programmable Memristor Crossbar Arrays},
author = {Tsakalos and Karolos-Alexandros and Vasileios Ntinas and Rafailia-Eleni Karamani and Iosif-Angelos Fyrigos and Theodoros Panagiotis Chatzinikolaou and Nikolaos Vasileiadis and Panagiotis Dimitrakis and Astero Provata and Georgios Ch. Sirakoulis},
url = {https://ieeexplore.ieee.org/document/9401669},
doi = {10.1109/ISCAS51556.2021.9401669},
year = {2021},
date = {2021-04-27},
urldate = {2021-01-01},
booktitle = {2021 IEEE International Symposium on Circuits and Systems (ISCAS)},
pages = {1--5},
organization = {IEEE},
abstract = {The time series of the brain are usually characterized by the co-existence of synchronized and desynchronized behaviors. This kind of behavior is related to normal and disorderly functions of the brain. One of the suggested mechanisms to understand thoroughly this behavior are chimera states, which are characterized by the coincidence of coherent and incoherent dynamics that can be exploited through networks of symmetrically coupled identical oscillators. In this work, ring-based networks of Chua's circuits, the simplest electronic oscillators that perform chaotic and well-known bifurcation phenomena, have been extensively studied in memristive crossbars (Xbar), revealing various collective spatio-temporal behaviors, such as chimera states. With respect to different Xbar connectivities and via SPICE-level circuit simulations, the proposed Xbar system proves its efficacy to reproduce spatio-temporal patterns spanning from complete synchronization and chimera states up to fully chaotic states.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The time series of the brain are usually characterized by the co-existence of synchronized and desynchronized behaviors. This kind of behavior is related to normal and disorderly functions of the brain. One of the suggested mechanisms to understand thoroughly this behavior are chimera states, which are characterized by the coincidence of coherent and incoherent dynamics that can be exploited through networks of symmetrically coupled identical oscillators. In this work, ring-based networks of Chua's circuits, the simplest electronic oscillators that perform chaotic and well-known bifurcation phenomena, have been extensively studied in memristive crossbars (Xbar), revealing various collective spatio-temporal behaviors, such as chimera states. With respect to different Xbar connectivities and via SPICE-level circuit simulations, the proposed Xbar system proves its efficacy to reproduce spatio-temporal patterns spanning from complete synchronization and chimera states up to fully chaotic states.
3.
Fyrigos I, Chatzinikolaou T P, Ntinas V, Vasileiadis N, Dimitrakis P, Karafyllidis I, Sirakoulis G Ch
Memristor Crossbar Design Framework for Quantum Computing Proceedings Article
In: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, IEEE 2021, ISBN: 978-1-7281-9201-7.
@inproceedings{fyrigos2021memristor,
title = {Memristor Crossbar Design Framework for Quantum Computing},
author = {Iosif-Angelos Fyrigos and Theodoros Panagiotis Chatzinikolaou and Vasileios Ntinas and Nikolaos Vasileiadis and Panagiotis Dimitrakis and Ioannis Karafyllidis and Georgios Ch. Sirakoulis},
url = {https://ieeexplore.ieee.org/document/9401581},
doi = {10.1109/ISCAS51556.2021.9401581},
isbn = {978-1-7281-9201-7},
year = {2021},
date = {2021-04-27},
urldate = {2021-01-01},
booktitle = {2021 IEEE International Symposium on Circuits and Systems (ISCAS)},
pages = {1--5},
organization = {IEEE},
abstract = {Over the last years there has been significant progress in the development of quantum computers. It has been demonstrated that they can accelerate the solution of various problems exponentially compared to today's classical computers, harnessing the properties of superposition and entanglement, two resources that have no classical analog. Since quantum computer platforms that are currently available comprise only a few tenths of qubits, as well as the access to a fabricated quantum computer is time limited for the majority of researchers, the use of quantum simulators is essential in developing and testing new quantum algorithms. Taking inspiration from previous work on developing a novel quantum simulator based on memristor crossbar circuits, in this work, a framework that automates the circuit design of emulated quantum gates is presented. The proposed design framework deals with the generation and programming of memristor crossbar configuration that incorporates the desirable quantum circuit, leading to a technology agnostic design tool. To such a degree, various quantum gates can be efficiently emulated on memristor crossbar configurations for various types of memristive devices, aiming to assist and accelerate the fabrication process of a memristor based quantum simulator.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Over the last years there has been significant progress in the development of quantum computers. It has been demonstrated that they can accelerate the solution of various problems exponentially compared to today's classical computers, harnessing the properties of superposition and entanglement, two resources that have no classical analog. Since quantum computer platforms that are currently available comprise only a few tenths of qubits, as well as the access to a fabricated quantum computer is time limited for the majority of researchers, the use of quantum simulators is essential in developing and testing new quantum algorithms. Taking inspiration from previous work on developing a novel quantum simulator based on memristor crossbar circuits, in this work, a framework that automates the circuit design of emulated quantum gates is presented. The proposed design framework deals with the generation and programming of memristor crossbar configuration that incorporates the desirable quantum circuit, leading to a technology agnostic design tool. To such a degree, various quantum gates can be efficiently emulated on memristor crossbar configurations for various types of memristive devices, aiming to assist and accelerate the fabrication process of a memristor based quantum simulator.
2.
Chatzinikolaou T P, Fyrigos I, Ntinas V, Kitsios S, Bousoulas P, Tsompanas M, Tsoukalas D, Adamatzky A, Sirakoulis G C
Margolus Chemical Wave Logic Gate with Memristive Oscillatory Networks Proceedings Article
In: 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), pp. 1–6, IEEE 2021.
@inproceedings{chatzinikolaou2021margolus,
title = {Margolus Chemical Wave Logic Gate with Memristive Oscillatory Networks},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Vasileios Ntinas and Stavros Kitsios and Panagiotis Bousoulas and Michail-Antisthenis Tsompanas and Dimitris Tsoukalas and Andrew Adamatzky and Georgios Ch Sirakoulis},
year = {2021},
date = {2021-01-01},
booktitle = {2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS)},
pages = {1--6},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
1.
Chatzinikolaou T P, Fyrigos I, Karamani R, Ntinas V, Dimitrakopoulos G, Cotofana S, Sirakoulis G Ch
Memristive oscillatory circuits for resolution of NP-complete logic puzzles: Sudoku case Proceedings Article
In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, IEEE ΙΕΕΕ, 2020.
@inproceedings{chatzinikolaou2020memristive,
title = {Memristive oscillatory circuits for resolution of NP-complete logic puzzles: Sudoku case},
author = {Theodoros Panagiotis Chatzinikolaou and Iosif-Angelos Fyrigos and Rafailia-Eleni Karamani and Vasileios Ntinas and Giorgos Dimitrakopoulos and Sorin Cotofana and Georgios Ch. Sirakoulis},
url = {https://ieeexplore.ieee.org/abstract/document/9181110},
doi = {10.1109/ISCAS45731.2020.9181110},
year = {2020},
date = {2020-09-28},
urldate = {2020-09-28},
booktitle = {2020 IEEE International Symposium on Circuits and Systems (ISCAS)},
pages = {1--5},
publisher = {ΙΕΕΕ},
organization = {IEEE},
abstract = {Memristor networks are capable of low-power and massive parallel processing and information storage. Moreover, they have presented the ability to apply for a vast number of intelligent data analysis applications targeting mobile edge devices and low power computing. Beyond the memory and conventional computing architectures, memristors are widely studied in circuits aiming for increased intelligence that are suitable to tackle complex problems in a power and area efficient manner, offering viable solutions oftenly arriving also from the biological principles of living organisms. In this paper, a memristive circuit exploiting the dynamics of oscillating networks is utilized for the resolution of very popular and NP-complete logic puzzles, like the well-known “Sudoku”. More specifically, the proposed circuit design methodology allows for appropriate usage of interconnections' advantages in a oscillation network and of memristor's switching dynamics resulting to logic-solvable puzzle-instances. The reduced complexity of the proposed circuit and its increased scalability constitute its main advantage against previous approaches and the broadly presented SPICE based simulations provide a clear proof of concept of the aforementioned appealing characteristics.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Memristor networks are capable of low-power and massive parallel processing and information storage. Moreover, they have presented the ability to apply for a vast number of intelligent data analysis applications targeting mobile edge devices and low power computing. Beyond the memory and conventional computing architectures, memristors are widely studied in circuits aiming for increased intelligence that are suitable to tackle complex problems in a power and area efficient manner, offering viable solutions oftenly arriving also from the biological principles of living organisms. In this paper, a memristive circuit exploiting the dynamics of oscillating networks is utilized for the resolution of very popular and NP-complete logic puzzles, like the well-known “Sudoku”. More specifically, the proposed circuit design methodology allows for appropriate usage of interconnections' advantages in a oscillation network and of memristor's switching dynamics resulting to logic-solvable puzzle-instances. The reduced complexity of the proposed circuit and its increased scalability constitute its main advantage against previous approaches and the broadly presented SPICE based simulations provide a clear proof of concept of the aforementioned appealing characteristics.