Advanced Materials & Technologies最新文献

Plasma-Generated Luminescent Coatings: Innovations in Thermal Sensitivity and Corrosion Resistance 等离子发光涂层：热敏性和耐腐蚀性方面的创新

Advanced Materials & Technologies Pub Date : 2024-09-20 DOI: 10.1002/admt.202401136

Ziyao Wang, Baochen Wang, Xinyao Yang, Hui Li, Ruiyu Mi, Yangai Liu

{"title":"Plasma-Generated Luminescent Coatings: Innovations in Thermal Sensitivity and Corrosion Resistance","authors":"Ziyao Wang, Baochen Wang, Xinyao Yang, Hui Li, Ruiyu Mi, Yangai Liu","doi":"10.1002/admt.202401136","DOIUrl":"https://doi.org/10.1002/admt.202401136","url":null,"abstract":"The strategic design of traditional coating materials has long been pivotal in broadening their range of applications. In this work, europium-doped TiO2 coatings are grown in situ on the surface of titanium substrate using plasma electrolytic oxidation technology. The core reaction took no more than five minutes. Incorporating europium into the coating preserved the inherent corrosion resistance of PEO coatings while imparting anticipated thermal-sensitive luminescence capabilities. The intrinsic emission of TiO2 and the characteristic emission of Eu3+ (5D0 → 7F2) are employed as the self-reference for the LIR thermometry. The absolute and relative temperature sensitivity of the coating reached 0.0087 K−1 and 0.739% K−1, respectively. Notably, the coating exhibited a signal discriminability of up to 5100 cm−1 and a temperature uncertainty of only 0.18 K, which is comparable to some TiO2: Eu nanoparticles. The ingenious fusion of corrosion resistance and thermal-sensitive luminescence of the coating not only makes it a classic protective structure but also facilitates its applicability to diverse scenarios, including optical thermometry in extreme environments.","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep-Learning-Assisted Triboelectric Whisker Sensor Array for Real-Time Motion Sensing of Unmanned Underwater Vehicle 用于无人潜航器实时运动感应的深度学习辅助三电须传感器阵列

Advanced Materials & Technologies Pub Date : 2024-09-20 DOI: 10.1002/admt.202401053

Bo Liu, Bowen Dong, Hao Jin, Peng Zhu, Zhaoyang Mu, Yuanzheng Li, Jianhua Liu, Zhaochen Meng, Xinyue Zhou, Peng Xu, Minyi Xu

{"title":"Deep-Learning-Assisted Triboelectric Whisker Sensor Array for Real-Time Motion Sensing of Unmanned Underwater Vehicle","authors":"Bo Liu, Bowen Dong, Hao Jin, Peng Zhu, Zhaoyang Mu, Yuanzheng Li, Jianhua Liu, Zhaochen Meng, Xinyue Zhou, Peng Xu, Minyi Xu","doi":"10.1002/admt.202401053","DOIUrl":"https://doi.org/10.1002/admt.202401053","url":null,"abstract":"Aquatic animals can perceive their surrounding flow fields through highly evolved sensory systems. For instance, a seal whisker array understands the hydrodynamic field that allows seals to forage and navigate in dark environments. In this work, a deep learning-assisted underwater triboelectric whisker sensor array (TWSA) is designed for the 3D motion estimation and near-field perception of unmanned underwater vehicles. Each sensor comprises a high aspect ratio elliptical whisker shaft, four sensing units at the root of the elliptical whisker shaft, and a flexible corrugated joint simulating the skin on the cheek surface of aquatic animals. The TWSA effectively identifies flow velocity and direction in the 3D underwater environments and exhibits a rapid response time of 19 ms, a high sensitivity of 0.2V/ms−1, and a signal-to-noise ratio of 58 dB. The device also locks onto the frequency of the upstream wake vortex, achieving a minimal detection accuracy of 81.2%. Moreover, when integrated with an unmanned underwater vehicle, the TWSA can estimate 3D trajectories assisted by a trained deep learning model, with a root mean square error of ≈0.02. Thus, the TWSA-based assisted perception holds immense potential for enhancing unmanned underwater vehicle near-field perception and navigation capabilities across a wide range of applications.","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Long-Lasting Simultaneous Epidermal and Dermal Microneedle-Enabled Drug Delivery 表皮和真皮微针同时长效给药

Advanced Materials & Technologies Pub Date : 2024-09-19 DOI: 10.1002/admt.202400980

Misagh Rezapour Sarabi, Sara Soltanabadi Farshi, Zeynep Saltik, Saba Khosbakht, Nesimi Buyukbabani, Orhan Agcaoglu, Secil Vural, Metin Sitti, Savas Tasoglu

引用次数: 0

Spectral Analysis on Color Detection Sharpness of Animal Vision toward Polychromatic Vision System 面向多色视觉系统的动物视觉色彩检测锐度光谱分析

Advanced Materials & Technologies Pub Date : 2024-09-19 DOI: 10.1002/admt.202400671

Suyeon Lee, Hyochul Kim, Goohwan Kim, Hyungbin Son, Un Jeong Kim

引用次数: 0

Hydrocarbon-Based Ionomer/PTFE-Reinforced Composite Membrane Through Multibar Coating Technique for Durable Fuel Cells 通过多棒涂层技术将碳氢化合物基离子聚合物/聚四氟乙烯增强复合膜用于耐用燃料电池

Advanced Materials & Technologies Pub Date : 2024-09-19 DOI: 10.1002/admt.202400669

Sanghyeok Lee, Taejun Sul, Unsoo Kim, Sohee Kim, Ji Eon Chae, Junsoo Kim, Sang Moon Kim, Segeun Jang, Sanghyeok Lee

{"title":"Hydrocarbon-Based Ionomer/PTFE-Reinforced Composite Membrane Through Multibar Coating Technique for Durable Fuel Cells","authors":"Sanghyeok Lee, Taejun Sul, Unsoo Kim, Sohee Kim, Ji Eon Chae, Junsoo Kim, Sang Moon Kim, Segeun Jang, Sanghyeok Lee","doi":"10.1002/admt.202400669","DOIUrl":"https://doi.org/10.1002/admt.202400669","url":null,"abstract":"For cost reduction and environmental-friendly manufacturing, it is highly demanded to replace the current perfluorinated sulfonic acid-based membrane in polymer electrolyte membrane fuel cells (PEMFCs) with inexpensive and readily available hydrocarbon-based (HC) membranes. However, HC membranes suffer from profound dimensional changes caused by swelling and shrinking during operation, especially in automotive applications. These changes lead to severe mechanical degradation and shorten the service life of PEMFC. Herein, a multibar coating system is developed to manufacture HC/polytetrafluoroethylene (PTFE) composite membrane. This system facilitates capillary-rise infiltration with the aid of an optimal amount of residual alcohol solvent on the PTFE. To address compatibility issues between PTFE and HC-ionomer solutions, the effects of residual alcohol solvent on tuning the PTFE surface are investigated by controlling systemic parameters and performing diverse mechanical, optical, and electrochemical measurements. Based on its enhanced mechanical toughness (≈30.04%) and superior impregnation properties, the constructed HC/PTFE composite membrane exhibited more than seven-fold improvement in mechanical durability under repeated accelerated wet–dry conditions compared with an unsupported pristine HC membrane while also mitigating performance loss (≈5.84%).","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaporated Copper-Based Perovskite Dynamic Memristors for Reservoir Computing Systems 用于水库计算系统的蒸发铜基 Perovskite 动态晶闸管

Advanced Materials & Technologies Pub Date : 2024-09-19 DOI: 10.1002/admt.202400838

Ruiheng Wang, He Shao, Jianyu Ming, Wei Yang, Jintao Sun, Benxin Liu, Siqi Wu, Haifeng Ling

{"title":"Evaporated Copper-Based Perovskite Dynamic Memristors for Reservoir Computing Systems","authors":"Ruiheng Wang, He Shao, Jianyu Ming, Wei Yang, Jintao Sun, Benxin Liu, Siqi Wu, Haifeng Ling","doi":"10.1002/admt.202400838","DOIUrl":"https://doi.org/10.1002/admt.202400838","url":null,"abstract":"Dynamic memristors are considered as the optimal hardware devices for reservoir computing (RC) enabled by their nonlinear conductance variations. This significantly reduces the extensive training workload typically required by traditional neural networks. Lead halide perovskites, with their tunable band structure and active ion migration properties, have emerged as highly promising materials for developing dynamic memristors. However, large-scale and consistently stable production remains a challenge for perovskite functional films, while lead elements' toxicity and environmental impact also partly restrict their practical device utilization. In this work, lead-free copper-based perovskite (i.e., CsCu2I3) films are prepared by thermal evaporation for constructing dynamic memristors. The effective conductivity modulation of CsCu2I3-based memristor can be utilized in artificial neural networks, achieving a high handwritten digit recognition accuracy of 91.2%. In addition, the RC system is also constructed based on the dynamic behavior of the devices, by which a letter recognition accuracy of 98.2% with simple training is achieved. This technology provides a feasible pathway to construct copper-based perovskite dynamic memristors for future neural network information processing.","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Subtractive Method to Chemically Pattern Liquid Metal for Stretchable Circuits 为可拉伸电路绘制液态金属化学图案的减法方法

Advanced Materials & Technologies Pub Date : 2024-09-18 DOI: 10.1002/admt.202401200

Kaushal Sumaria, Tingyi “Leo” Liu

{"title":"A Subtractive Method to Chemically Pattern Liquid Metal for Stretchable Circuits","authors":"Kaushal Sumaria, Tingyi “Leo” Liu","doi":"10.1002/admt.202401200","DOIUrl":"https://doi.org/10.1002/admt.202401200","url":null,"abstract":"Advancements in biomedical research have spurred the development of stretchable electronic devices. While soft insulators are readily available, soft conductors with metal‐like electrical conductivity are rare. Gallium and its alloys, being nontoxic and intrinsically stretchable, are potentially ideal solutions. However, current additive liquid metal (LM) patterning methods face limitations in achieving high‐throughput, high‐resolution, and high‐density LM wiring. Here, a subtractive LM patterning method is developed to meet all these requirements simultaneously. The innovative method involves parallel filling a single continuous microfluidic mesh network with LM that short‐circuits all the pins and pads of a circuit, followed by parallel cutting of the unwanted short‐circuited interconnections using hydrochloric acid (HCl) vapor. Cutting locations are pre‐defined by designing narrower intersecting channels, leveraging capillary force for precise filling and cutting. The process is characterized using a multidimensional parametric study with varying LM line widths and HCl concentrations, and in situ impedance measurements to assess insulation performance. To showcase its high‐throughput capabilities, a mock circuit is used to successfully generate complex LM interconnects that connected hundreds of electrical pads. Finally, a stretchable LM circuit with a micro‐LED array is fabricated to demonstrate the practical application of this technology for massively parallel wiring in stretchable electronics.","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"208 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Enables Reliable Colorimetric Detection of pH and Glucose in Wearable Sweat Sensors 机器学习实现对可穿戴式汗液传感器中 pH 值和葡萄糖的可靠比色检测

Advanced Materials & Technologies Pub Date : 2024-09-15 DOI: 10.1002/admt.202401121

Lijun Zhou, Sidharth S. Menon, Xinqi Li, Miqin Zhang, Mohammad H. Malakooti

{"title":"Machine Learning Enables Reliable Colorimetric Detection of pH and Glucose in Wearable Sweat Sensors","authors":"Lijun Zhou, Sidharth S. Menon, Xinqi Li, Miqin Zhang, Mohammad H. Malakooti","doi":"10.1002/admt.202401121","DOIUrl":"https://doi.org/10.1002/admt.202401121","url":null,"abstract":"In healthcare, blood pH and glucose levels are critical indicators, especially for chronic conditions like diabetes. Although taking blood samples is accurate, it is invasive and unaffordable for many. Wearable sensors offer non‐invasive and continuous detection methods, yet face major challenges, such as high cost, inaccuracies, and complex interpretation. Colorimetric wearable sensors integrated with machine learning (ML) are introduced for accurately detecting pH values and glucose concentrations in sweat. These battery‐free and cost‐effective biosensors, made of cotton textiles, are designed to work seamlessly with smartphones for data collection and automated analysis. A new pH indicator is synthesized with enhanced sensitivity and two types of glucose sensors are developed by depositing enzymatic solutions onto cotton substrates. The sensors' performance is assessed using standard solutions with known pH levels ranging from 4 to 10 and glucose concentrations between 0.03 to 1 mm. The photos captured from these sensors are then analyzed by image processing and three different ML algorithms, achieving an accuracy of 90% in pH and glucose detection. These findings provide effective synthesis methods for textile‐based sweat sensors and demonstrate the significance of employing different ML algorithms for their colorimetric analysis, thus eliminating the need for human intervention in the process.","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

1D Textile Yarn Battery with MoS2@Si Anode and NCM Cathode 采用 MoS2@Si 阳极和 NCM 阴极的一维纺织纱线电池

Advanced Materials & Technologies Pub Date : 2024-09-15 DOI: 10.1002/admt.202400753

Ifra Marriam, Mike Tebyetekerwa, Hifza Aamna Memon, Hiran Chathuranga, Jindi Yang, Kaige Sun, Dewei Chu, Cheng Yan

{"title":"1D Textile Yarn Battery with MoS2@Si Anode and NCM Cathode","authors":"Ifra Marriam, Mike Tebyetekerwa, Hifza Aamna Memon, Hiran Chathuranga, Jindi Yang, Kaige Sun, Dewei Chu, Cheng Yan","doi":"10.1002/admt.202400753","DOIUrl":"https://doi.org/10.1002/admt.202400753","url":null,"abstract":"Wearable electronics are surging for various applications ranging from critical functions like personal health monitoring to communication and entertainment. To power these electronic devices, advanced high‐performing textile‐based batteries are reckoned. In this work, a 1D textile yarn battery is designed using silicon (Si) nanoparticles wrapped in molybdenum disulfide (MoS2) as an anode and layered Ni‐rich material Li[Ni0.8Co0.1Mn0.1]O2 (NCM) as a cathode. The anode materials design is selected to ensure the use of Si due to its high specific capacity but suppressing its known issue of volume expansion by layered MoS2 nanosheets and, at the same time, MoS2 providing channels for lithium‐ion (Li‐ion) transport during electrochemical cycles. The NCM cathode, on the other hand, is adopted as it has higher energy density and improved cycle life. The full yarn battery (FYB) delivered an excellent electrochemical performance (areal capacity of 3.13 mAh cm−2, power density of 421 mW cm−3, and energy density of 78.9 mWh cm−3) with a capacity retention of 86% at 0.1 C and coulombic efficiency of 91.3%. This work pointed out a new way to design and fabricate textile‐based batteries with high‐performance materials using simple, cost‐effective, and scalable approaches targeting to be used as energy sources for future wearable electronics.","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi‐Structural and Biodegradable Humidity Sensors with Enhanced Surface Hydrophilicity 具有增强表面亲水性的多结构可生物降解湿度传感器

Advanced Materials & Technologies Pub Date : 2024-09-13 DOI: 10.1002/admt.202401038

Ricardo Brito‐Pereira, Rita Policia, André S. Macedo, Carmen R Tubio, Joel Borges, Senentxu Lanceros‐Mendez

{"title":"Multi‐Structural and Biodegradable Humidity Sensors with Enhanced Surface Hydrophilicity","authors":"Ricardo Brito‐Pereira, Rita Policia, André S. Macedo, Carmen R Tubio, Joel Borges, Senentxu Lanceros‐Mendez","doi":"10.1002/admt.202401038","DOIUrl":"https://doi.org/10.1002/admt.202401038","url":null,"abstract":"The increasing environmental impact from electronic waste (e‐waste) has prompted research into sustainable materials for biodegradable and transient electronics. Although some progress has been achieved, further improvement in terms of performance and sustainability is needed. This study introduces a humidity sensor composed of biodegradable poly(D,L‐lactide‐co‐glycolide acid) (PDLG) in novel and multi‐structural morphologies. It highlights the role of the sensors’ microscopic structural features in their performance, particularly in humidity sensitivity, to maximize the retention and detection of water molecules. Techniques such as electrospinning and electrospray are used to achieve specific fiber and sphere morphologies. Oxygen plasma treatments tuned their surface hydrophilicity, enhancing moisture interaction. Physicochemical characterization revealed that plasma‐treated morphologies lost up to 93% of their weight after six weeks, demonstrating high sensor degradation. Functional tests showed that the sphere‐based sensor exhibited low hysteresis (0.19%), high sensitivity (3.9 × 10⁷ MΩ/% RH), excellent repeatability, and fast response time (0.43s) in the 60−95% RH range. Additionally, NaCl functionalization further improved detection sensitivity and extended the detection range down to 30% RH. The biodegradable nature of the PDLG sensors allows their natural decomposition into eco‐friendly by‐products, minimizing their environmental impact, and addressing the environmental challenges associated with e‐waste.","PeriodicalId":7200,"journal":{"name":"Advanced Materials & Technologies","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0