ACS Applied Materials & Interfaces
·
2024
·
IF 8.3
Jia-Wei Cai,Jing-Ting Ye,Ya-Nan Zhong,Zhong-Da Zhang,Hao Zong,Li-Xing Li,Xue-Er Han,Jian-Long Xu,Xu Gao,Shuit-Tong Lee,Sui-Dong Wang
In the vanguard of neuromorphic engineering, we develop a paradigm of biocompatible polymer memcapacitors using a seamless solution process, unleashing comprehensive synaptic capabilities depending on both the stimulation form and history. Like the human brain to learn and adapt, the memcapacitors exhibit analogue-type and evolvable capacitance shifts that mirror the complex flexibility of synaptic strengthening and weakening. With increasing frequency and intensity of the stimulation, the memcapacitors demonstrate an evolution from short-term plasticity (STP) to long-term plasticity (LTP), and even to metaplasticity (MP) at a higher level. A physical picture, featuring the stimulus-controlled spatiotemporal ion redistribution in the polymer, elaborates the origin of the memcapacitive prowess and resultant versatile synaptic plasticity. The distinctive MP behavior endows the memcapacitors with a dynamic learning rate (LR), which is utilized in an artificial neural network. The superiority of implementing a dynamic LR compared with conventional practices of using constant LR shines light on the potential of the memcapacitors to exploit organic neuromorphic computing hardware.
研究领域:
神经形态工程
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材料科学
·
生物医学工程
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DOI
高影响因子
ADVANCED FUNCTIONAL MATERIALS
·
2020
·Vol. 30
·期 11
·1908901
·
IF 16.836
Fumin Ma,Yangbin Zhu,Zhongwei Xu,Yang Liu,Xiaojing Zheng,Songman Ju,Qianqian Li,Ziquan Ni,Hailong Hu,Yang Chai,Chaoxing Wu,Tae Whan Kim,Fushan Li
Simulating the human brain for neuromorphic computing has attractive prospects in the field of artificial intelligence. Optoelectronic synapses have been considered to be important cornerstones of neuromorphic computing due to their ability to process optoelectronic input signals intelligently. In this work, optoelectronic synapses based on all-inorganic perovskite nanoplates are fabricated, and the electronic and photonic synaptic plasticity is investigated. Versatile synaptic functions of the nervous system, including paired-pulse facilitation, short-term plasticity, long-term plasticity, transition from short- to long-term memory, and learning-experience behavior, are successfully emulated. Furthermore, the synapses exhibit a unique memory backtracking function that can extract historical optoelectronic information. This work could be conducive to the development of artificial intelligence and inspire more research on optoelectronic synapses.
研究领域:
神经形态计算
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光电子学
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材料科学
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人工智能
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纳米技术
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DOI
高影响因子
Nature Communications
·
2023
·Vol. 14
·期 1
·1-11
·
IF 16.6
Zhang Yuchun,Liu Lin,Tu Bin,Cui Bin,Guo Jiahui,Zhao Xing,Wang Jingyu,Yan Yong
Shrinking the size of the electronic synapse to molecular length-scale, for example, an artificial synapse directly fabricated by using individual or monolayer molecules, is important for maximizing the integration density, reducing the energy consumption, and enabling functionalities not easily achieved by other synaptic materials. Here, we show that the conductance of the self-assembled peptide molecule monolayer could be dynamically modulated by placing electrical biases, enabling us to implement basic synaptic functions. Both short-term plasticity (e.g., paired-pulse facilitation) and long-term plasticity (e.g., spike-timing-dependent plasticity) are demonstrated in a single molecular synapse. The dynamic current response is due to a combination of both chemical gating and coordination effects between Ag + and hosting groups within peptides which adjusts the electron hopping rate through the molecular junction. In the end, based on the nonlinearity and short-term synaptic characteristics, the molecular synapses are utilized as reservoirs for waveform recognition with 100% accuracy at a small mask length.
研究领域:
神经科学
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材料科学
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纳米技术
·
电子学
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产品关联
DOI
PubMed
高影响因子
Device
·
2025
·
IF 8
Chengpeng Jiang,Honghuan Xu,Wenbo Wang,Lu Yang,Jiaqi Liu,Yao Ni,Xinyu Ye,Yu Zhang,Taoyu Zou,Kuniharu Takei,Wentao Xu
The majority of existing neuromorphic platforms focus on sensory fusion or recognition and lack the ability to identify relationships between multimodal inputs. Here, we developed an artificial synaptic cluster to realize an artificial neuromorphic multisensory inference system. This system comprises two laterally integrated synaptic transistors with shared electrolyte gates. The polycrystalline InZnO channel facilitates ionic modulation for short-term plasticity (STP), while the Au nanocrystal-based channel introduces discrete charge-trapping sites for long-term plasticity (LTP), enabling simultaneous multi-timescale synaptic processing. This mixed-plasticity architecture emulates the transient and persistent memory behaviors of biological synapses and evaluates the spatiotemporal alignment of infrared and ultrasonic sensory signals for hardware-level causal inference. Without external training or neural networks, the system achieves 95.3% and 94.2% accuracy in multisensory object classification and causal inference, respectively.
研究领域:
神经形态工程
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人工智能
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神经网络
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材料科学
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电子工程
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感知处理
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认知计算
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DOI
高影响因子
JOURNAL OF APPLIED POLYMER SCIENCE
·
2022
·Vol. 139
·期 21
·52219
·
IF 3.057
Yongyin Cui,Hongwei Pan,Changrui Shi,Huichao Zhuang,Qingfu Wang,Chengzhong Zong
To simplify the production process of thermoplastic polyurethane (TPU)/methyl vinyl silicone rubber (VMQ)-based thermoplastic vulcanizate (TPV), a series of block TPUs with different hydroxybutanyl terminated polydimethylsiloxane (PDMS) content were used as the matrix to increase the essential compatibility. The impact of microstructure and macroscopic properties was explored. PMDS promoted the microphase separation of TPU, which increased the essential compatibility in TPVs. The essential compatibilization effect of PDMS made the tensile strength retention proportion of TPV relative to the raw material TPU at 40%, but the elongation at break could reach 192%, which had an excellent toughening effect. Moreover, PDMS made the limiting oxygen index of TPV-323 reach 27%. The analysis of the carbon layer proved that the Si element formed a silicon oxycarbon layer with excellent flame retardancy on the surface.
研究领域:
材料科学
·
高分子化学
✓ 已验证
DOI
高影响因子
POLYMER
·
2023
·
IF 4.6
Ziwen Cui,Xiangyu Li,Wei Feng,Liping Wei,Yingjun Liu,Aihua Du
This work aims to develop heat- and oil-resistant thermoplastic vulcanizates (TPVs) based on hydrogenated acrylonitrile butadiene rubber (HNBR) and thermoplastic polyester elastomer (TPEE) using dynamic vulcanization and following a masterbatch procedure. It focuses on the effect of the cross-linking agent dosage on the morphology and properties of HNBR/TPEE-TPVs. An increase in the peroxide dosage yields a higher cross-linking degree of the HNBR, a smaller size and a more uniform distribution of the HNBR domains, and a stronger rubber network. Consequently, the elasticity and high-temperature oil resistance of the TPV increases, but its flowability in the molten state, tensile properties , and heat resistance decrease. It turns out that a peroxide dosage of 1.5 phr is preferred for the preparation of HNBR/TPEE-TPV under the specified processing conditions to achieve a more comprehensive TPV performance.
研究领域:
材料科学
·
高分子化学
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产品关联
DOI
高影响因子
Journal of Physical Chemistry Letters
·
2024
·
IF 4.8
Chuanyu Fu,Mengjiao Pei,Hangyuan Cui,Shuo Ke,Yixin Zhu,Changjin Wan,Qing Wan
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 and mechanical properties. In this study, indium–gallium–zinc oxide (IGZO)/polyvinylpyrrolidone (PVP) CNFs were synthesized, and the neuromorphic transistor was integrated on both rigid and flexible substrates. The learning behavior, characterized by the transition from short-term plasticity (STP) to long-term plasticity, was achieved through photoelectric stimulation of the rigid neuromorphic transistor. The nonlinear STP was simulated by the flexible neuromorphic transistor through electrical pulses, matching effectively with a reservoir computing (RC) system. Hand gesture recognition with little energy consumption (49 pJ per reservoir state) and a maximum accuracy of 92.86% has been achieved by the RC system, proving the substantial potential of the IGZO/PVP CNF neuromorphic transistor for wearable intelligent processing tasks.
研究领域:
神经形态工程
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纳米技术
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光电子学
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人工智能
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柔性电子学
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储层计算
✓ 已验证
DOI
高影响因子
ACS Sustainable Chemistry & Engineering
·
2023
·
IF 8.4
De-Fa Hou,Meng-Lei Li,Pei-Yao Li,Ling Zhou,Kai Zhang,Zheng-Ying Liu,Wei Yang,Ming-Bo Yang
Despite the melting processibility of cellulose is of great importance to convert this abundant biomass to various products, the efficient and sustainable preparation of a thermoplastic cellulose material remains a challenge. Herein, we report a novel one-step ball-milling mechanochemistry method for efficiently converting cellulose to melt-processable cellulose stearates (SCEs) without sacrificing excess reagents. By adjusting the reaction conditions, a series of SCEs with degrees of substitution (DS) ranging from 1.30 to 2.37 are synthesized. Besides, the relationship between DS and the thermoplasticity of SCEs is well investigated. The obtained SCEs with DS beyond 1.62 show favorable thermoplasticity, which can be processed into homogeneous films with a maximum tensile strength of 12.4 MPa and an elastic modulus of 353.6 MPa by a conventional hot-pressing technique (160 °C, 10 MPa). Moreover, this method is universally used for achieving various thermoplastic fatty acid cellulose esters with different numbers of carbons (10–18) in side chains. Due to its high efficiency and sustainability, this approach holds great potential for the large-scale fabrication of thermoplastic cellulose-based materials.
研究领域:
材料科学
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化学工程
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可持续化学
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产品关联
DOI
高影响因子
CARBON
·
2024
·
IF 10.5
Xiaoqi Mao,Longlong Dong,Yiya Zhang,Shuanglin Qin,Guodong Sun,Lianwen Wang,Yusheng Zhang
Synergistic improvement of strength and ductility is challenging in the engineering applications of titanium matrix composites (TMCs). Herein, we fabricated the TC4 composites reinforced with grain boundary micron-TiC and intragranular nano-Ti 2 Cu using spark plasma sintering (SPS) and hot rolling (HR) to achieve a good balance between strength and ductility. An interfacial reaction between Ti and C forms the grain boundary TiC, and the vast majority of intragranular nano-Ti 2 Cu precipitates to accommodate the severe lattice distortion caused by the solid solution of Cu in β-Ti phase. Benefiting from Ti 2 Cu nanoprecipitates and their ability to effectively suppress dislocation motion , precipitation strengthening, and dislocation strengthening are the main factors, in addition to grain refinement strengthening due to deformation processing , that contribute to the realization of the superior yield strength (YS) of 1360 MPa and ultimate tensile strength (UTS) of 1504 MPa in composites than TC4 matrix (YS = 986 MPa, UTS = 1160 MPa). Meanwhile, the interfacial strain-delocalization effect of TiC/Ti 2 Cu with Ti matrix, the shear-lag effect of TiC, and the sustained strain-hardening effect provided by TiC/Ti 2 Cu empower the composites with an outstanding ductility (fracture elongation of 8.4 %). This study highlights the untapped potential for improving the mechanical properties of Ti matrix composites.
研究领域:
材料科学
·
力学工程
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产品关联
DOI
高影响因子
Nanomaterials
·
2022
·Vol. 12
·期 7
·1142
·
IF 5.719
Mei Wan,Congling Shi,Xiaodong Qian,Yueping Qin,Jingyun Jing,Honglei Che
In this work, a novel functionalization strategy for ZIF-67-modified layered MXene was proposed, aiming at improving the fire safety of thermoplastic polyurethanes (TPU). The ZIF-67@MXene was verified by microscopic morphology, elemental composition, functional group species and crystal structure, and then the successfully prepared ZIF-67@MXene was introduced into the TPU material. When ZIF-67@MXene content was only 0.5 wt%, the peak heat release rate, total heat release rate, peak smoke release rate, total smoke release rate, and CO yield of the TPU/ZIF-67@MXene composites were reduced by 26%, 9%, 50%, and 22%, respectively, compared with the pure TPU. The thermogravimetric tests showed that the residual char of TPU/ZIF-67@MXene composites was the most in all samples. In short, the high-quality carbon layer of TPU/ZIF-67@MXene composites acts as a physical barrier to the transfer of heat and toxic gases, greatly improving the flame retardant properties of the TPU polymer.Keywords:metal-organic framework ZIF-67;MXene;fire safety;thermoplastic polyurethanes
研究领域:
材料科学
·
高分子科学
·
防火工程
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产品关联
DOI
PubMed
高影响因子
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
·
2022
·
IF 6.044
Zeyun Cai,Tao Xiang,Weizong Bao,Jiayin Chen,Tian Gao,Guoqiang Xie
Pure titanium is an ideal material for tissue replacements and implant materials for its superior biocompatibility and corrosion resistance , but its limited strength remains a major obstacle to its wide applications. A promising strategy for enhancing the strength is to alloy the pure titanium with oxygen. Herein, we reported an oxygen solid solution strengthening for pure titanium by achieving a titanium-oxygen (Ti–O) alloy using ball milling (BM) and spark plasma sintering (SPS). The effect of oxygen contents, ranging from 0.33 to 2.08 wt%, on the mechanical properties of pure titanium was systematically investigated. Experimental results indicate that the Ti–O alloy with the oxygen content of 1.95 wt% reached an ultrahigh yield strength of 2026 MPa and showed a large ductility of 11.2% in compression. According to the quantified analysis of strengthening mechanisms, solid solute oxygen atoms are responsible for the balance of superior yield strength and ductility of the Ti–O alloys.
研究领域:
材料科学
·
生物医学工程
✓ 已验证
产品关联
DOI
高影响因子
Journal of Materials Chemistry C
·
2023
·Vol. 11
·期 9
·3213-3226
·
IF 6.4
Zihong Shen,Zunxian Yang,Yuanqing Zhou,Yuliang Ye,Bingqing Ye,Qiaocan Huang,Wenbo Wu,Hongyi Hong,Zeqian Hong,Zongyi Meng,Zhiwei Zeng,Songwei Ye,Zhiming Cheng,Qianting Lan,Jiaxiang Wang,Ye Chen,Hui Zhang,Tailiang Guo,Yun Ye,Zhenzhen Weng,Yongyi Chen
Artificial photonic synapses, owing to their high sensitivity, low power consumption, and integration of sensing and memory, have aroused comprehensive discussion and have been developed into devices used as the new sensors for the Internet of Things (IoT) and artificial neural networks (ANNs). Colossal energy consumption may be one of the factors hindering the development of neuromorphic computing. Herein, ternary component organic array films of TIPS-pentacene, polystyrene, and CsPbBr3 perovskite quantum dots (QDs) are effectively developed to fabricate photonic synaptic transistors. The patterned organic thin films prepared by the solution processes can be distinctly controlled in the crystallographic orientation using a pre-patterned-guided crystallizing strategy and the corresponding transistor of TIPS-pentacene with mobility over 1 cm2 V−1 s−1 is successfully achieved. On this basis, the ternary composite film exhibits synaptic behaviours from short-term plasticity (STP) to long-term plasticity (LTP), including paired-pulse facilitation (PPF), spike-time-dependent plasticity (STDP), spike-number-dependent plasticity (SNDP), spike-frequency dependent plasticity (SFDP) and light-potentiation/electric-depression. Benefiting from the improved material compatibility and film-forming properties of small molecule semiconductors and perovskite QDs with polymer polystyrene, our synapses still exhibit prominent synaptic features at a low power consumption of 0.036 fJ. Utilizing time-dependent plasticity, the synaptic device stimulated by a series of light signals realizes wireless optical communication. In addition, the pattern recognition function by ANNs is verified. This work provides a feasible fabricating path to patterned array film-based photonic synapses for the next generation human–computer interaction sensors.
研究领域:
材料科学
·
类脑计算
·
光电技术
·
人工智能
✓ 已验证
产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）