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Article
Chemistry, Physical
Dijie Yao et al.
Summary: This study presents a skin-adhesive multifunctional textile-based device fabricated using a simple and scalable layer-by-layer dip-coating method. The device exhibits excellent electro-thermal and photo-thermal conversion performance, good cycling stability, and capabilities for electromagnetic interference shielding and human motion detection.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Zeyu Yuan et al.
Summary: Rechargeable aluminum-ion batteries (RAIBs) are a promising battery storage technology due to their cost-effectiveness, operational safety, and high energy density. However, their actual capacity is lower than their true capacity and their cycling stability is poor. Understanding the energy-storage mechanism can aid in designing stable electrode materials for optimized performance.
ADVANCED MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Yiqiang Zheng et al.
Summary: This study utilized Ti3C2Tx quantum dots (TQDs) to enhance charge carriers of 2D perovskite Ca2Nb3O10 (CNO) nano -sheet (NS) layers, resulting in a 1,100% increase in spectral responsivity in the TQD-modified 2D perovskite CNO NS photodetector compared to the reference. The flexible TQD/CNO photodetector was integrated with a data collector to create a wearable visible-blind UV monitoring system for skin and plant protection. Artificial neural network was used to train and recognize ambient UV radiation information for alerting users. This work demonstrates the potential applications of TQD/CNO in UV-related wearable healthcare and control systems.
Article
Chemistry, Physical
Tatyana Ivanova et al.
Summary: Transparent and conductive films of NiOx were successfully prepared using sol-gel technology. The properties of the films were studied at different annealing temperatures, and it was found that NiO was formed at 400℃ with Ni+ states present. The optical transparency of the films decreased slightly after high-temperature annealing, and the optical band gap decreased with thermal treatments. Additionally, the NiOx films exhibited good p-type electrical conductivity, making them suitable for use as wideband semiconductors and hole transport layers in transparent solar cells.
Article
Chemistry, Physical
Qihan Liu et al.
Summary: This work demonstrates an all-in-one artificial synapse integrating central nervous and sensory nervous functions utilizing low-dimensional metal-oxide heterojunction. By employing an ion-electrolyte gate, synaptic emulations modulated by electrical and photonic stimulus are integrated into a high-performance three-terminal artificial synapse. Various long-term and short-term synaptic plasticity functions can be achieved by altering the electrolyte-gate stimulus parameters. The emulated synaptic plasticity and maintained synaptic weight states enable the artificial synapses for neuromorphic computing. An artificial neural network based on these artificial synapses achieves Covid-19 chest image recognition (>85%). The photo-sensitive metal-oxide heterojunction enables the synaptic functions mimicking the biological visual sensory functions, responding to optical and UV stimulus. Photonic synaptic plasticity modulations responding to photonic stimulus parameters are investigated, and short-term/long-term synaptic plasticity transition is achieved. Furthermore, the dual-mode synaptic modulation combining photonic stimulus and gate stimulus is examined. Finally, an artificial neural network is demonstrated based on the dual-mode synaptic weight modulation, indicating the potential of the artificial synapse for compact artificial intelligence systems combining neuromorphic computing and visual sensory nervous functions.
Article
Chemistry, Multidisciplinary
Chengxu Wang et al.
Summary: This study proposes a theoretical design of a superlattice-like structure switching layer to achieve controllable and gradual switching of multi-level memristors, aiming to enhance the performance of neuromorphic computing. The optimized superlattice memristor demonstrates excellent conductance modulation and improved accuracy in handwritten digit recognition, while maintaining fast operating speed, long data retention time, and scalability.
Article
Chemistry, Multidisciplinary
Jia Zhou et al.
Summary: Memristors are a promising device concept for neuromorphic computing, but the assembly of large memristive arrays often faces heat dissipation issues. Organic materials can be tailored for neuromorphic applications but are susceptible to heat. A study demonstrated a high-temperature organic memristive synapse resembling biological neurons' ion movement, showcasing potential for practical organic neuromorphic devices.
ADVANCED MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Qin Gao et al.
Summary: This study presents a memory system utilizing a nanoporous double-layer structure to simulate synaptic functions, achieving high ON-OFF ratios and stability. The device shows promise in neuromorphic computing due to its excellent synaptic performance.
NPG ASIA MATERIALS
(2021)
Review
Chemistry, Multidisciplinary
Fuqin Sun et al.
Summary: Emerging flexible artificial sensory systems using neuromorphic electronics are considered promising for processing massive data with low power consumption. Developing artificial flexible synapses with low power consumption and high-density integration, as well as ensuring efficient coupling between sensing elements and synaptic devices are crucial for high-efficiency neuromorphic sensory systems.
Article
Chemistry, Multidisciplinary
Yan Wang et al.
Summary: Recent research has proposed in-sensor computing to improve the efficiency of artificial intelligence systems, with a focus on a multi-modal MXene-ZnO memristor that combines visual data sensing, RH sensing, and pre-processing functions. This new memristor emulates the adaptive behavior of the human eye and has the potential to contribute to the development of intelligence in device-level implementations.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Parashurama Salunkhe et al.
Summary: The study focused on the influence of sputter power on the physical properties of NiO films grown by DC magnetron sputtering, revealing a polycrystalline nature with FCC phase and an increase in band gap with higher sputter power. XPS and Raman spectra confirmed the presence of Ni2+ and Ni3+ states in the films, while electrical properties showed an increase in resistivity and a mobility of around 84 cm² V⁻¹ s⁻¹.
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
(2021)
Article
Chemistry, Multidisciplinary
Sreekanth Ginnaram et al.
Summary: This study investigates the impact of TiOx/Al2O3 interfacial layer on MoS2-based memristive/artificial synapse characteristics, showing significant improvement with the TiOx layer compared to Al2O3 and MoS2. The TiOx-based memory device demonstrates excellent RESET behavior and low energy consumption, making it suitable for future memory applications in computing.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2021)
Article
Chemistry, Physical
D. Saranin et al.
Summary: This work demonstrates the beneficial role of MXene doping in NiO-based inverted perovskite solar cells, improving charge extraction and collection efficiency to achieve superior performance. The ability to finely tune MXene work function during chemical synthesis and modify optoelectronic properties of PSC layers as dopant opens up countless possibilities for engineering inverted PSC structures.
Article
Chemistry, Multidisciplinary
Xuewen Wang et al.
Summary: Synaptic devices based on 2D-layered materials with artificially engineered grain boundaries have been developed, exhibiting responsiveness to various stimuli, low energy consumption, and plasticity characteristics. This provides an effective way to fabricate lateral synaptic devices for practical application development and sheds light on controllable electrical state switching for neuromorphic computing.
ADVANCED MATERIALS
(2021)
Article
Chemistry, Physical
Peiru Zheng et al.
Summary: The research reveals that different dopant cations can affect the surface Ni3+ generation in NiO catalysts, which in turn affects their reactivity. Li+ doping promotes the generation of Ni3+, while Zn2+ and Cr3+ doping decreases it. The quantity of surface Ni3+ is directly proportional and linearly related to the reactivity.
APPLIED SURFACE SCIENCE
(2021)
Article
Materials Science, Multidisciplinary
Di-Jie Yao et al.
Summary: Low-cost conductive MXene-coated airlaid paper sensors were fabricated via a dip-coating technique for use as electronic skin, displaying high sensitivity, broad sensing range, and stable response. These sensors can be used to monitor human body motion and collect physical signals sensitively and accurately in the form of electronic skin.
JOURNAL OF MATERIALS CHEMISTRY C
(2021)
Article
Automation & Control Systems
Wei Zhang et al.
Summary: Memristors are advantageous for neuromorphic computing due to their fast and energy-efficient matrix vector multiplication, but their nonlinearity makes training difficult in neural networks. Stochastic and adaptive learning methods have been developed to effectively suppress the inaccuracy caused by memristor nonlinearity, providing a more hardware-friendly and energy-efficient design. Testing on LeNet-5 convolutional neural network shows high accuracy close to complex methods and surpassing traditional nonlinear techniques.
ADVANCED INTELLIGENT SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Mingqiang Huang et al.
Summary: This work presents a neuromorphic computing system based on memristors, utilizing a global gate controlled one transistor one digital memristor (1T1DM) architecture as the basic binary electronic synapse. The system successfully implements low-bit neuromorphic computing, offering a lightweight, robust alternative to traditional analogue memristor networks for challenging visual tasks.
IEEE ELECTRON DEVICE LETTERS
(2021)
Article
Chemistry, Multidisciplinary
Lin Yang et al.
Summary: This study demonstrates a highly transparent and flexible artificial synapse with a two-terminal architecture that emulates photonic synaptic functionalities, exhibiting characteristics such as paired-pulse facilitation, short/long-term memory, and synaptic behavior analogous to that of the human eye. The ability to detect deep red light without impacting synaptic behavior indicates dual-mode operation potential, contributing to higher integration density of transparent 3D stacking memristors and potential applications in optical learning, memory, computing, and visual recognition.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Review
Chemistry, Multidisciplinary
Changjin Wan et al.
ADVANCED MATERIALS
(2020)
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Haizhong Zhang et al.
ACS APPLIED MATERIALS & INTERFACES
(2020)
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Gaokuo Zhong et al.
APPLIED PHYSICS LETTERS
(2020)
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Zhenyu Zhou et al.
MATERIALS HORIZONS
(2020)
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Tian-Yu Wang et al.
Article
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Sung-Il Kim et al.
ADVANCED ELECTRONIC MATERIALS
(2019)
Article
Physics, Applied
Xiaojuan Lian et al.
APPLIED PHYSICS LETTERS
(2019)
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Materials Science, Multidisciplinary
Shi-Rui Zhang et al.
ADVANCED MATERIALS TECHNOLOGIES
(2019)
Article
Materials Science, Multidisciplinary
Chunli Jiang et al.
JOURNAL OF MATERIALS CHEMISTRY C
(2019)
Article
Engineering, Electrical & Electronic
Takeshi Kawauchi et al.
ACS APPLIED ELECTRONIC MATERIALS
(2019)
Article
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Yang Zhang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2018)
Article
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Tingting Tan et al.
JOURNAL OF ALLOYS AND COMPOUNDS
(2018)
Article
Multidisciplinary Sciences
Can Li et al.
NATURE COMMUNICATIONS
(2018)
Review
Engineering, Electrical & Electronic
Mohammed A. Zidan et al.
NATURE ELECTRONICS
(2018)
Article
Multidisciplinary Sciences
Peng Yao et al.
NATURE COMMUNICATIONS
(2017)
Article
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Joseph Halim et al.
APPLIED SURFACE SCIENCE
(2016)
Article
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Zhong Qiang Wang et al.
ADVANCED FUNCTIONAL MATERIALS
(2012)
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Hongjun Wang et al.
MICROELECTRONIC ENGINEERING
(2012)
