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AgBiI4
Journal of Materials Chemistry C · 2020 ·Vol. 8 ·期 40 ·14155-14163 · IF 7.059

High performance flexible memristors based on a lead free AgBiI4 perovskite with an ultralow operating voltage

Haibo Ye,Bo Sun,Ziyi Wang,Zhiyong Liu,Xuning Zhang,Xianhua Tan,Tielin Shi,Zirong Tang,Guanglan Liao

Organic–inorganic halide perovskite materials exhibit excellent memristive properties, such as high ON/OFF ratio and low switching voltage. However, the toxicity of lead and poor stability strictly limit their further commercial applications. Herein, a high-quality nontoxic and stable AgBiI4 perovskite film is successfully synthesized via a low-temperature dynamic hot casting method, and resistive switching (RS) memory devices based on AgBiI4 are reported for the first time. The RS memory devices with the ITO substrate exhibit typical bipolar nonvolatile memory behaviors with an ultralow operating voltage (≈0.16 V), high ON/OFF ratio (≈104), reversible RS by pulse voltage operation (>700) and long data retention (>104 s), superior to those of most of the other perovskite-based memory devices. Furthermore, a high performance flexible nonvolatile resistive switching (RS) memory device based on a AgBiI4 perovskite with a PEN substrate is fabricated. The flexible device also displays good stability under repeated bending tests (>1000 cycles). By analyzing the current–voltage responses, and the transmission electron microscopy, energy dispersive spectroscopy and X-ray photoelectron spectroscopy results, we propose a mechanism involving conducting filaments formed by Ag cations to describe the RS behavior of the Ag/PMMA/AgBiI4/ITO device. Our work demonstrates that AgBiI4 is promising for nonvolatile memory devices and paves the way for realizing low-power consumption flexible nonvolatile memory devices.

CAS / MDL: 68-12-2
研究领域: 材料科学 · 电子工程 · 纳米技术
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Journal of Materials Chemistry C · 2022 ·Vol. 10 ·期 13 ·5321-5327 · IF 8.067

Tuning the morphology and optoelectronic properties of AgBiI4 film through isopropanol treatment

Wenjing Zhai,Lin Huang,Xiaomin Cui,Guangyuan Li,Zhihang Zhang,Peizhuo Chen,Yongqiang Li,Yuxia Tang,Lin Lin,Zhibo Yan,Jun-Ming Liu

Lead-free halide perovskites have great potential as stable and nontoxic optoelectronic materials. As a promising photovoltaic candidate, AgBiI4 has attracted attention due to its eco-friendly properties and strong stability, but the energy conversion efficiency (PCE) is still low and more effort towards improving the film quality is needed for photovoltaic applications. Here, we synthesized AgBiI4 films by antisolvent treatments with chlorobenzene (CB), toluene (TL), and isopropanol (IPA), respectively, and the corresponding solar cells of ITO/SnO2/AgBiI4/PTAA/Au were fabricated. Our data indicate that the IPA-treated AgBiI4 film has better microstructural quality and higher photovoltaic performance than the other-treated films. Furthermore, the PCE of the cells is enhanced from 0.82% to 1.61% upon IPA-treatment. This study suggests that besides a suitable relative polarity, an antisolvent with a lower boiling point and a higher miscibility with the host solvent is preferred in improving the AgBiI4 film quality and enhancing the photovoltaic performance of AgBiI4-based solar cells.

研究领域: 材料科学 · 能源科学
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Materials Advances · 2022 ·Vol. 3 ·期 19 ·7248-7256 · IF 0

Lead-free AgBiI4 perovskite artificial synapses for a tactile sensory neuron system with information preprocessing function

Haibo Ye,Zhiyong Liu,Hangdi Han,Tielin Shi,Guanglan Liao

Organometal halide perovskites (OHPs) exhibit great potential in memristors and artificial synaptic devices. However, the toxicity of lead and instability set barriers for further applications in neuromorphic computing. Herein, we demonstrate an artificial synapse based on inorganic lead-free AgBiI4 perovskites, which exhibits typical analog resistive switching (RS) characteristics and synaptic behaviors. Several functions of biological synapses are realized including long-term potentiation (LTP), long-term depression (LTD), paired-pulse facilitation (PPF) and spike-timing-dependent plasticity (STDP). Furthermore, by integrating a tactile sensor array with a AgBiI4 synaptic device, an artificial sensory neuron system is demonstrated. Under pressure stimulations with various intensities, an electrical pre-synaptic signal is transferred to artificial synapses for further information preprocessing, realizing the capability of contrast enhancement and noise reduction. After information preprocessing with an artificial sensory neuron system, the recognition accuracy reaches up to almost 100% with only 500 training epochs by using the MNIST handwritten data set. The presented work provides a new candidate for the next generation of neuromorphic computation based on lead free perovskites.

CAS / MDL: 68-12-2
研究领域: 神经形态计算 · 材料科学 · 电子工程
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Journal of Physical Chemistry C · 2024 · IF 3.3

Performance Improvement of AgBiI4 Solar Cells by a Lewis Base Thiourea Additive

Wenjing Zhai,Wenhao Zheng,Penghui Shi,Lin Huang,Xiaomin Cui,Peizhuo Chen,Yuxia Tang,Lin Lin,Zhibo Yan,Jun-Ming Liu

Silver bismuth iodide (Ag–Bi–I) is considered to be a potential photovoltaic material as an eco-friendly semiconductor with a suitable band gap and high stability. However, the reported highest PCE is still far below the ideal value, and the quality of the AgxBiyIx+3y film deserves to be further improved. Herein, we introduce a facile strategy to control the crystallization of AgBiI4 by adding Lewis base additives thiourea (TU) to the AgBiI4 precursor solution. The result indicates that coordination between TU and AgBiI4 precursor solution improves the crystallization, reduces the defect density, and increases the carrier mobility of the AgBiI4 film. The treatment of the TU additive boosts light absorption, reduces charge recombination, and facilitates charge extraction, resulting in improved photovoltaic performance of the AgBiI4 solar cell. Compared to the control device, the treatment of 0.9 mM TU increases the PCE (∼1.87%) of the solar cell by 19.9% and improves the air stability of the solar cell.

研究领域: 材料科学 · 光伏技术 · 半导体物理
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