arXiv subjects

Anton Khanas

Publications and source records attributed to Anton Khanas.

3 recordsLinked to original sources

arXiv2026

Multiple spiking functionalities in annealing-optimized Ag/Hf$_{0.5}$Zr$_{0.5}$O$_2$-based memristive neurons

Rapid progress of artificial neural network applications in recent years has led to the issue of an unprecedented energy consumption. It can be solved by the implementation of energy efficient hardware based on non-von-Neumann architectures, which requires the development of electronic components emulating the behavior of synapses and neurons. While research of synaptic elements is vast, the technology for fabrication of scalable and highly reproducible neuronal elements is far less developed. In this paper, we demonstrate an artificial neuron with multiple functionalities based on filamentary switching Ag/Hf$_{0.5}$Zr$_{0.5}$O$_2$ (HZO) memristors. To improve the parameters of memristors, we propose a two-step annealing method, which allows for better control of the crystallization of the functional dielectric layer (HZO) as well as of the diffusion of active electrode (Ag) atoms. Furthermore, we demonstrate the leaky integrate-and-fire (LIF) neuronal behavior in multiple spiking modes: time-to-first-spike (TTFS), number of spikes and firing rate coding. Moreover, the neuron operation does not require the additional electronic overhead and is supported solely by a Ag/HZO memristor with a current limiting resistor connected in series. The presented results pave the way for the creation of next generation energy efficient neuromorphic hardware operating on the principles of spiking neural networks.

cond-mat.mtrl-sci↗

arXiv2025

Targeted synthesis of polycrystalline vanadium dioxide thin films via post-deposition annealing

Implementation of neuromorphic hardware is a promising way to improve the computing efficiency and decrease the energy consumption of artificial neural networks. For this purpose, electronic elements emulating the behavior of synapses and neurons have to be developed. In order to realize electronic artificial neurons, threshold resistive switches or memristors can be efficiently used. One of the most widespread materials for threshold switches is vanadium dioxide due to its property to demonstrate the metal-insulator transition at a temperature about 70 {\deg}C. However, the processes of VO$_{2}$ synthesis are quite restrictive in temperature and gas atmosphere conditions, which hinders its integration into CMOS fabrication. In this work, we propose a new method of VO$_{2}$ synthesis: reactive pulsed laser deposition from metallic V target in oxygen atmosphere at room temperature, followed by vacuum annealing. Our method enables target synthesis of an appropriate VO$_{2}$ phase in a polycrystalline thin film form by finely tuning oxygen pressure during room temperature deposition, which allows to relax the equipment demands, such as high temperature heating in oxygen. Successful targeted VO$_{2}$ synthesis under fabrication conditions close to back-end-of-line CMOS production, achieved in this work, show the way toward its large-scale microelectronic integration for neuromorphic hardware creation.

cond-mat.mtrl-sci↗

arXiv2025

Biorealistic Response in Optoelectrically-Driven Flexible Halide-Perovskite Single-Crystal Memristors

The transition to smart wearable and flexible optoelectronic devices communicating with each other and performing neuromorphic computing at the edge is a big goal in next-generation optoelectronics. These devices should perform their regular tasks supported by energy-efficient in-memory calculations. Here, we study the response of the CsPbBr$_3$ halide-perovskite single crystal fabricated on the flexible polymer substrate and integrated with the single-walled carbon nanotube thin film electrodes in a lateral geometry. We show both photodetection functions combined with the synaptic functionality in our device under the application of hybrid optoelectrical stimuli. Furthermore, we demonstrate that our device exhibits frequency-dependent bidirectional modification of synaptic weight with a sliding threshold similar to biologically plausible Bienenstock-Cooper-Munro learning. The demonstrated optoelectronic synaptic behavior in halide-perovskite single-crystals opens the opportunity for the development of hybrid organic-inorganic artificial visual systems.

cond-mat.mtrl-sci↗