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New Trends in Nonequilibrium Stochastic Multistable Systems and Memristors (NES2019)

18-21 oct. 2019
The conference will take place at the the Ettore Majorana Centre for Scientific Culture in Erice, Itay - Erice (Italie)

Despite the impressive range of promising applications of memristors nanomaterials and devices, there is a serious fundamental problem to be solved before any further development in this nanoscience area and related technology. This problem is connected with multistability and role of the noise present in memristor devices. In fact, the resistive switching or “memristive effect” has a pronounced stochastic nature, and, as revealed experimentally, resistive switching devices have multiple memory states. Therefore, the memristor appears as a multistable system, whose switching dynamics occurs under the action of strong noise, that is a noise with intensity comparable to the height of energy barriers separating the stable and metastable states of the system. To use the memristors as the memory elements in resistive random access memory (RRAM) and neuromorphic systems one needs to significantly extend the understanding of the resistive state switching process taking into account the multistability, the role of the internal and external noise sources and the metastable states in the transient nonlinear dynamics of such nonequilibrium systems. The internal structure of memristor is an example of complex multistable system for which the stochastic methods of complex system analysis must be applied. Therefore, the role of fluctuations in microelectronics is becoming crucial for the operation and control of new devices at micro and nanometric scale. Moreover, the use of modern statistical approaches for creating adequate physical models of microelectronic elements is of fundamental and global significance. In particular, the establishment of such models for memristors can become the basis of a technological breakthrough and would permit in the near future to realize the enormous technological potential of memristive nanomaterials in the favorable market situation. Understanding metastability is a fundamental issue to understand and describe the dynamical behavior of many natural systems. In fact, metastability is relevant in the dynamical behavior of complex systems, such as spin glasses and glasses, and its relevance depends on the number of metastable states, their local stability and related basin of attraction in the presence of thermal or external fluctuations. It is the time scale of the basin of attraction around the investigated stable point of the system that defines the stability and metastability of the state under consideration. Metastability is a signature of a first order phase transition, often characterized by a long-living metastable state, whose dynamics is typical of out-of-equilibrium systems. Specifically, metastable states in complex systems are characterized by different time scales, the fast ones describing the dynamics inside the metastable region and the slow ones describing the dynamics between different metastable states, and often it is interesting to find long-living metastable states. In particular, the stability of a metastable state can be enhanced by Gaussian and non-Gaussian noise sources. This counterintuitive effect has been found in different physical areas, ranging from the generation of spin currents, aggregation kinetics of Brownian particles, chemical reaction system, translocation dynamics of polymers, ultra-fast magnetization dynamics of magnetic spin systems, dynamic electron response in zinc-blende semiconductor crystals, noise redistribution in quasi 2D Silicon Mos inversion layers, to interdisciplinary physical models. The Course “New Trends in Nonequilibrium Stochastic Multistable Systems and Memristors” belongs to the International Workshop Series on New Trends in Nonequilibrium Systems. A common phenomenon in the dynamics of out-of-equilibrium systems is the metastability, and the problem of the lifetime of metastable states involves fundamental aspects of nonequilibrium statistical mechanics. In spite of such a ubiquity, the microscopic understanding of metastability and related out-of-equilibrium dynamics still raise fundamental questions. Stochastic many-body systems, both classical and quantum, often display a complex and slow relaxation towards a stationary state. This nonlinear relaxation process in multistable systems is crucial for understanding the switching mechanism in memristive nanomaterials. This workshop will bring together leading experts and research groups who work for the development of memristors as building blocks for quantum and neuromorphic computing. Moreover, aim of this meeting is to bring together scientists interested to the challenging problems connencted with the dynamics of nonequilibrium multistable systems and memristor devices from both theoretical and experimental point of view, within an interdisciplinary context. The conference will be a discussion forum to promote new ideas in this fertile field of research, and in particular new trends such new stochastic nonlinear models, phase transitions phenomena in filamentary switching in resistive random-access memory, control of memory lifetime and memcomputing.
Discipline scientifique : Physique

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