Volunteer Support Network for Elderly Foreigners : A New Movement of Korean Residents in Kyoto

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Performance of in-materio physical reservoir computing devices based on highly oriented semiconducting polymer thin films

Physical reservoir computing (PRC) harnesses the intrinsic nonlinear dynamics of physical systems for efficient temporal data processing, offering significant advantages in energy-efficient hardware implementation. This study explores the potential of oriented semiconducting polymer (SCP) thin films as reservoirs for PRC, focusing on two types of SCP benzo[c]cinnoline-based conjugated polymer diketopyrrolopyrrole benzo[c]cinnoline p(DPP-BZC) and regioregular poly(3-hexyl thiophene) (RR-P3HT). To enable anisotropic charge transport, uniaxially oriented thin films with edge-on molecular orientation were fabricated using the floating film transfer method. The films were electrically evaluated for anisotropic nonlinear responses, phase-shifting capabilities, and high-dimensional mapping in PRC tasks. Performance metrics, including waveform generation accuracy, were systematically investigated under varying device configurations and molecular structures. The study underscores the critical role of different conjugated polymers and their orientations in PRC performance, paving the way for developing next-generation materials for temporal signal processing and low-power intelligent hardware.journal articl

Intrinsic Disordered Network in Multiferroic YMnO3 Single Crystals for In-Materio Physical Reservoir Computing Through Tuneable Domain-Wall Structure

Physical reservoir computing (PRC) is an innovative computational paradigm that leverages intrinsic nonlinearity of physical systems to efficiently perform complex tasks. It is discovered that the intrinsically disordered domain structure in multiferroic YMnO3 provides significant nonlinearity, making it a promising candidate for robust PRC with tuneability and functionality at high temperatures. This work explores the potential of YMnO3 single crystals for PRC. PRC performance of YMnO3 is systematically evaluated by analysing its nonlinear responses, phase shifts, and high dimensionality through benchmark tasks such as waveform generation (WG), memory capacity (MC), and second-order nonlinear autoregressive moving average (NARMA2) time-series prediction. This results demonstrate that YMnO3 single crystals exhibit superior performance in these tasks, achieving high accuracy and low power consumption (≈1.77 µW and ≈0.02 nW/domain). These crystals also performed well in practical application of low-power speech recognition. These findings establish YMnO3 as a viable platform for next-generation PRC technologies, addressing critical challenges in the field.journal articl

Observation of B+ → χc0K+

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河道湾曲部における河床変動解析の再現性に関する研究

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