Emulating the essential synaptic behaviors using single transistor has attracted extensive attention for building brain-inspired neuromorphic systems. However, few reports on transistors fabricated by solution processes have been reported. In this article, indium oxide based polyimide substrates were a nontoxic water-inducement method at low temperature, and lithium perchlorate (LiClO4) was dissolved in polyethylene as gate electrolyte. For process, comparable electrical properties of can be...

Emulating the essential synaptic working principles using a three-terminal transistor has been an important research field in recent years. Electrospun metal oxide nanofibers have regarded as promising blocks for large-area, low-cost, and one-dimensional (1D) electronic devices. In this letter, zinc-tin (ZnSnO) were fabricated by electrospinning, transistors based on ZnSnO integrated. To mimic behavior of human brain, LiClO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

We report a high-performance transparent amorphous indium gallium zinc oxide thin-film transistor (a-IGZO TFT) gated by atomic layer deposition (ALD)-deposited HfAlO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> . Through postfabrication annealing optimization process, the total trap density of device can be reduced in two orders magnitudes. The subthreshold swing (SS) reaches an ultralow level 62.29 mV/dec due to low defect states. A...

A hardware based artificial neural network (ANN), which holds the potential to alleviate computation load and energy of a digital computer, has propelled development memory devices that can resemble synapse. Memcapacitors, especially on ferroelectric materials, with theoretically no static power, nondestructive readout, multiple polarization states, are expected have good efficiency endurance as emerging synapses. However, conventional characterized extremely high remnant polarization,...

Emulating synaptic behavior using the three-terminal and ion-coupled transistors is considered as a promising strategy for realization of neuromorphic devices. Meanwhile, one-dimensional (1-D) nanostructures show great potential fabrication flexible electronic In this work, 1-D indium oxide (In <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> ) nanofibers were fabricated by...

Distracted driving significantly affects the efficiency and safety of traffic flow. Modeling distracted behavior in microscopic flow simulation is essential for understanding its critical impacts on However, due to influence various external factors considerable uncertainties characteristics, modeling remains a challenge. This study proposed model which incorporates distraction features into simulate behavior. Specifically, first examines characteristics driving, including intervals...

Fear neural circuits can recognize precisely threatening stimuli and enable the early-warning for individual in real world. In this regard, implementation of fear functions by neuromorphic devices could potentially improve intelligent adaptability cognition humanoid robots. Here, an artificial circuit is proposed, which consists a noise triboelectric nanogenerator (N-TENG) amorphous indium gallium zinc oxide based photoelectronic transistor (IGZO-PNT). Such collects sound wave light signals...

One-dimensional metal-oxide nanowire networks (NNs) are considered as important elements in electronics due to their unique physical and electrical performances. In this letter, Sn <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1-x</sub> Ga xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> O NNs were fabricated field-effect transistors (FETs) based on with different Sn/Ga ratios constructed. The characteristics of the FETs have been...

Point cloud processing plays an increasingly essential role in three-dimensional (3D) computer vision target, scene parsing, environmental perception, etc. Compared with using aligned point data for classification and segmentation, the strictly rotation-invariant representations show enough robustness. Inspired by great success of deep learning, we propose a novel neural network called Multi-head Attentional Cloud Classification Segmentation Using Strictly Rotation-invariant Representations....

In this work, a bulk thermodynamics and microstructure study of lead zirconate titanate ferroelectric PbZr0.52Ti0.48O3 is performed through internal friction, Young’s modulus, differential scanning calorimetry (DSC), electron diffraction measurements. Two friction peaks are observed near 261 225 K. The former correlates with an enthalpy change revealed by DSC data ascribable to first-order tetragonal-to-monoclinic phase transition. latter (225 K), however, showing asymmetric line shape...

Abstract Transparent oxide semiconductors exhibit great potential as fundamental building blocks for electronic applications. However, the lack of high‐performance p‐type materials limits their applications transparent electronics. Ternary perovskite NdAlO 3 thin films are prepared by spin coating and annealed at various temperatures. It is demonstrated that neodymium vacancies (V Nd ) generated in film, presence V results high hole mobility. The thin‐film transistors (TFTs) based on film...

Current computing systems rely on Boolean logic and von Neumann architecture, where cells are based high-speed electron-conducting complementary metal-oxide-semiconductor (CMOS) transistors. In contrast, ions play an essential role in biological neural computing. Compared with CMOS units, the synapse/neuron speed is much lower, but human brain performs better many tasks such as pattern recognition decision-making. Recently, ionic dynamics oxide electrolyte-gated transistors have attracted...

Brain-inspired flexible neuromorphic devices are of great significance for next-generation high-efficiency wearable sensing and computing systems. In this paper, we propose a organic electrochemical transistor using poly[(bithiophene)-alternate-(2,5-di(2-octyldodecyl)- 3,6-di(thienyl)-pyrrolyl pyrrolidone)] (DPPT-TT) as the semiconductor poly(methyl methacrylate) (PMMA)/LiClO

Nanofiber neuromorphic transistors are regarded as promising candidates for mimicking brain-like learning and advancing high-performance computing. Composite nanofibers (CNFs) typically exhibit enhanced optoelectronic mechanical properties. In this study, indium-gallium-zinc oxide (IGZO)/polyvinylpyrrolidone (PVP) CNFs were synthesized, the transistor was integrated on both rigid flexible substrates. The behavior, characterized by transition from short-term plasticity (STP) to long-term...

Model-Based Reinforcement Learning (MBRL) has been gradually applied in the field of Robot due to its excellent sample efficiency and asymptotic performance. However, for high-dimensional learning tasks complex scenes, exploration stable training capabilities robot still need enhancement. In light policy planning optimization, we propose a bidirectional model-based optimization algorithm based on adaptive gaussian noise improved confidence weights (BMPO-NW). The parameterizes networks into...