Theoretical simulations of dynamical systems for advanced reservoir computing applications
Doctoral thesis, 2020
The possibility of building intelligent dynamical systems that collect information and analyze it in real-time has been investigated theoretically.
The basic idea is to expose a dynamical system to the environment one wishes to analyze over time. The system operates as an environment sensitive reservoir computer. Since the state of the reservoir depends on the environment, the information about the environment one wishes to retrieve gets encoded in the state of the system. The key idea exploited in the thesis is that if the state of the reservoir is highly correlated with the state of the environment then the information about the environment can be inferred with a modest engineering overhead.
A typical dynamical system is assumed to be a network of environment sensitive elements. Each element can be something simple, but taken together, the elements acquire collective intelligence that can be harvested. These ideas have been examined theoretically (and verified experimentally) by simulating various networks of environment-sensitive elements: the memristor, the capacitor, the constant phase element and the organic field effect transistor element. The simulations were done in the context of ion sensing, which is an extremely complex, many-body, and multi-scale modeling problem.
Chalmers, Microtechnology and Nanoscience (MC2), Electronics Material and Systems Laboratory
On using reservoir computing for sensing applications: exploring environment-sensitive memristor networks
International Journal of Parallel, Emergent and Distributed Systems,; Vol. 33(2018)p. 367-386
Athanasiou V., Konkoli Z., On the use of collaborative interactions for embedded sensing applications: Memristor networks as intelligent sensing substrates
On the efficient simulation of electrical circuits with constant phase elements: The Warburg element as a test case
International Journal of Circuit Theory and Applications,; Vol. 46(2018)p. 1072-1090
On a generic theory of the organic electrochemical transistor dynamics
Organic Electronics: physics, materials, applications,; Vol. 72(2019)p. 39-49
Memristor Models for Early Detection of Sepsis in ICU patients
2019 Computing in Cardiology,; (2019)
Paper in proceeding
On Sensing Principles Using Temporally Extended Bar Codes
IEEE Sensors Journal,; Vol. 20(2020)p. 6782-6791
On Mathematics of Universal Computation with Generic Dynamical Systems
From Parallel to Emergent Computing,; (2019)p. 385-405
Athanasiou V., Konkoli Z., On Improving the Computing Capacity of Dynamical Systems
Reservoir Computing with Real-time Data for future IT (RECORD-IT)
European Commission (EC) (EC/H2020/664786), 2015-09-01 -- 2018-08-31.
Areas of Advance
Information and Communication Technology
Other Physics Topics
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4760
Chalmers University of Technology
Kollektorn, MC2, Chalmers
Opponent: Andrew Adamatzky, University of the West of England, FET- computer science and creative technologies, Bristol, United Kingdom