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Hu H, Zhang Y, Qin H, Guan W, Fang M, Zhang C, Li Y. Effect of terminal substituent of iso-indigo-based materials on the intermolecular stacking and memory performance. Chem Asian J 2024; 19:e202301000. [PMID: 38282179 DOI: 10.1002/asia.202301000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 01/19/2024] [Accepted: 01/26/2024] [Indexed: 01/30/2024]
Abstract
Attributed to the characteristics of narrow band gap structural units and full spectral response, iso-indigo is often used as an electron acceptor in organic electronic materials. Organic molecules with large conjugated surfaces and strong intermolecular forces can form ordered stacked structures through self-assembly. In this paper, the self-assembly performances of IDCF3 and IDCN are regulated by changing the end groups. The effects of terminal groups on the resistive memory behaviours and reproducibility are investigated. The properties of IDCF3 and IDCN devices are characterized by UV-VIS spectroscopy, cyclic voltammetry and DSC diffraction. The results show that when the end groups with different steric hindrance are introduced into the ends of the molecules with good backbone plane, the conjugated surfaces of the molecules will bend due to the different steric hindrance of the end groups in the form of cambium and layer-ordered packing, which will affect the threshold voltage and device reproducibility.
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Affiliation(s)
- Haiyan Hu
- School of Biotechnology, Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, Jiangsu, 215123, China
| | - Yong Zhang
- School of Biotechnology, Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, Jiangsu, 215123, China
| | - Hongni Qin
- School of Biotechnology, Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, Jiangsu, 215123, China
| | - Weijia Guan
- School of Biotechnology, Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, Jiangsu, 215123, China
| | - Menghan Fang
- School of Biotechnology, Suzhou Industrial Park Institute of Service Outsourcing, Suzhou, Jiangsu, 215123, China
| | - Cheng Zhang
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou, Jiangsu, 215009, China
| | - Yang Li
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou, Jiangsu, 215009, China
- The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, Jiangnan University, Wuxi, Jiangsu, 214122, China
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Liu Y, Li X, Zhang Y, Ge L, Guan Y, Zhang Z. Ultra-Large Scale Stitchless AFM: Advancing Nanoscale Characterization and Manipulation with Zero Stitching Error and High Throughput. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2303838. [PMID: 37612824 DOI: 10.1002/smll.202303838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/08/2023] [Indexed: 08/25/2023]
Abstract
The atomic force microscopy (AFM) is an important tool capable of characterization, measurement, and manipulation at the nanoscale with a vertical resolution of less than 0.1 nm. However, the conventional AFMs' scanning range is around 100 µm, which limits their capability for processing cross-scale samples. In this study, it proposes a novel approach to overcome this limitation with an ultra-large scale stitchless AFM (ULSS-AFM) that allows for the high-throughput characterization of an area of up to 1 × 1 mm2 through a synergistic integration with a compliant nano-manipulator (CNM). Specifically, the compact CNM provides planar motion with nanoscale precision and millimeter range for the sample, while the probe of the ULSS-AFM interacts with the sample. Experimental results show that the proposed ULSS-AFM performs effectively in different scanning ranges under various scanning modes, resolutions, and frequencies. Compared with the conventional AFMs, the approach enables high-throughput characterization of ultra-large scale samples without stitching or bow errors, expanding the scanning area of conventional AFMs by two orders of magnitude. This advancement opens up important avenues for cross-scale scientific research and industrial applications in nano- and microscale.
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Affiliation(s)
- Yijie Liu
- State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Beijing Key Laboratory of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China
| | - Xuexuan Li
- State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Beijing Key Laboratory of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China
| | - Yuliang Zhang
- School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Beijing, 100191, China
| | - Lin Ge
- NT-MDT Spectrum Instruments China office, Beijing, 100053, China
| | - Yingchun Guan
- School of Mechanical Engineering and Automation, Beihang University, 37 Xueyuan Road, Beijing, 100191, China
| | - Zhen Zhang
- State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Beijing Key Laboratory of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, China
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Elboughdiri N, Iqbal S, Abdullaev S, Aljohani M, Safeen A, Althubeiti K, Khan R. Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing. RSC Adv 2023; 13:35993-36008. [PMID: 38090095 PMCID: PMC10711987 DOI: 10.1039/d3ra06853f] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/22/2023] [Indexed: 09/07/2024] Open
Abstract
We investigate the morphological, electrical, magnetic, and resistive switching properties of (Co, Yb) co-ZnO for neuromorphic computing. By using hydrothermal synthesized nanoparticles and their corresponding sputtering target, we introduce Co and Yb into the ZnO structure, leading to increased oxygen vacancies and grain volume, indicating grain growth. This growth reduces grain boundaries, enhancing electrical conductivity and room-temperature ferromagnetism in Co and Yb-doped ZnO nanoparticles. We present a sputter-grown memristor with a (Co, Yb) co-ZnO layer between Au electrodes. Characterization confirms the ZnO layer's presence and 100 nm-thick Au electrodes. The memristor exhibits repeatable analog resistance switching, allowing manipulation of conductance between low and high resistance states. Statistical endurance tests show stable resistive switching with minimal dispersion over 100 pulse cycles at room temperature. Retention properties of the current states are maintained for up to 1000 seconds, demonstrating excellent thermal stability. A physical model explains the switching mechanism, involving Au ion migration during "set" and filament disruption during "reset." Current-voltage curves suggest space-charge limited current, emphasizing conductive filament formation. All these results shows good electronic devices and systems towards neuromorphic computing.
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Affiliation(s)
- Noureddine Elboughdiri
- Chemical Engineering Department, College of Engineering, University of Ha'il P.O. Box 2440 Ha'il 81441 Saudi Arabia
- Chemical Engineering Process Department, National School of Engineers Gabes, University of Gabes Gabes 6029 Tunisia
| | - Shahid Iqbal
- Department of Physics, University of Wisconsin La Crosse WI USA
| | - Sherzod Abdullaev
- Engineering School, Central Asian University Tashkent Uzbekistan
- Scientific and Innovation Department, Tashkent State Pedagogical University Named After Nizami Tashkent Uzbekistan
| | - Mohammed Aljohani
- Department of Chemistry, College of Science, Taif University P.O. BOX. 110 21944 Taif Saudi Arabia
| | - Akif Safeen
- Department of Physics, University of Poonch Rawalakot Rawalakot 12350 Pakistan
| | - Khaled Althubeiti
- Department of Chemistry, College of Science, Taif University P.O. BOX. 110 21944 Taif Saudi Arabia
| | - Rajwali Khan
- Department of Physics, University of Lakki Marwat Lakki Marwat 2842 KP Pakistan
- Department of Physics, United Arab Emirates University United Arab Emirates
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Li Z, Yang C, Zhang X, Shi J, Ruan L, Liu Q, Zhang Y, Zhou Y. Lipid-inspired biomimicking morphosynthesis of a series of complex concave silica architectures. Chem Commun (Camb) 2023; 59:12597-12600. [PMID: 37791461 DOI: 10.1039/d3cc04101h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
The lipid-inspired biosilicification process enables the creation of a series of concave silica nanoarchitectures in the complex shapes of nanobowls, nanodishes, nanoboats, and nanoloops. The reaction at a pH of 8 initially allows the formation of thin and elastic circular gel nanosheets that can undergo inducible stretching and folding, which subsequently evolves into nanodish and nanobowl through a potential global buckling process. The adjustment of the pH to 9 and 4 enables the production of more complex morphogens of nanoboat and nanoloop, respectively. These unique silica nanoarchitectures may have a wide scope of potential application from nanoreactors in heterogenous catalysis to drug delivery systems and optical materials.
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Affiliation(s)
- Zhengdao Li
- Chemistry and Pharmaceutical Engineering College, Engineering Technology Research Center of Henan Province for Solar Catalysis, Nanyang Normal University, Nanyang, Henan 473061, P. R. China.
| | - Chuanyun Yang
- Chemistry and Pharmaceutical Engineering College, Engineering Technology Research Center of Henan Province for Solar Catalysis, Nanyang Normal University, Nanyang, Henan 473061, P. R. China.
| | - Xingjian Zhang
- Chemistry and Pharmaceutical Engineering College, Engineering Technology Research Center of Henan Province for Solar Catalysis, Nanyang Normal University, Nanyang, Henan 473061, P. R. China.
| | - Jiping Shi
- Chemistry and Pharmaceutical Engineering College, Engineering Technology Research Center of Henan Province for Solar Catalysis, Nanyang Normal University, Nanyang, Henan 473061, P. R. China.
| | - Lu Ruan
- Chemistry and Pharmaceutical Engineering College, Engineering Technology Research Center of Henan Province for Solar Catalysis, Nanyang Normal University, Nanyang, Henan 473061, P. R. China.
| | - Qi Liu
- School of Materials Science and Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, P. R. China.
| | - Yongcai Zhang
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225009, P. R. China
| | - Yong Zhou
- School of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, P. R. China.
- School of Physics, Jiangsu Key Laboratory of Nanotechnology, Eco-materials and Renewable Energy Research Center (ERERC), National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, P. R. China
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Zhang C, Chen M, Pan Y, Li Y, Wang K, Yuan J, Sun Y, Zhang Q. Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207229. [PMID: 37072642 PMCID: PMC10238223 DOI: 10.1002/advs.202207229] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/09/2023] [Indexed: 05/03/2023]
Abstract
In the era of big data and artificial intelligence (AI), advanced data storage and processing technologies are in urgent demand. The innovative neuromorphic algorithm and hardware based on memristor devices hold a promise to break the von Neumann bottleneck. In recent years, carbon nanodots (CDs) have emerged as a new class of nano-carbon materials, which have attracted widespread attention in the applications of chemical sensors, bioimaging, and memristors. The focus of this review is to summarize the main advances of CDs-based memristors, and their state-of-the-art applications in artificial synapses, neuromorphic computing, and human sensory perception systems. The first step is to systematically introduce the synthetic methods of CDs and their derivatives, providing instructive guidance to prepare high-quality CDs with desired properties. Then, the structure-property relationship and resistive switching mechanism of CDs-based memristors are discussed in depth. The current challenges and prospects of memristor-based artificial synapses and neuromorphic computing are also presented. Moreover, this review outlines some promising application scenarios of CDs-based memristors, including neuromorphic sensors and vision, low-energy quantum computation, and human-machine collaboration.
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Affiliation(s)
- Cheng Zhang
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Mohan Chen
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Yelong Pan
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Yang Li
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Kuaibing Wang
- Jiangsu Key Laboratory of Pesticide SciencesDepartment of ChemistryCollege of ScienceNanjing Agricultural UniversityNanjing210095China
| | - Junwei Yuan
- School of Chemistry and Life SciencesSuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Yanqiu Sun
- School of Chemistry and Life SciencesSuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Qichun Zhang
- Department of Materials Science and EngineeringDepartment of Chemistry and Center of Super‐Diamond and Advanced Films (COSDAF)City University of Hong Kong83 Tat Chee AvenueHong Kong999077China
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