Article
Nanoscience & Nanotechnology
Hyunje Park, Jaeseok Hwang, Tae Hyeong Lee, Jaejong Lee, Dae Joon Kang
Summary: The study focuses on secondary electrohydrodynamic instability in polymer films to produce easy-to-control morphological anisotropic wettability without the need for chemical modifications. Advantages of anisotropic hydrophilic surfaces fabricated by secondary phase instability of polymer films for droplet condensation and removal result in a higher efficiency in water harvesting applications compared to traditional hydrophilic surfaces.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Review
Chemistry, Multidisciplinary
Guowei Lv, Hongmiao Tian, Jinyou Shao, Demei Yu
Summary: This paper reviews a recent patterning technique called electrohydrodynamic patterning (EHDP), which uses an externally applied electric field to create micro-/nano-patterns on thin polymeric films. The theoretical and numerical studies of EHDP are presented, as well as the discussion on how the characteristic wavelength and time are influenced by external conditions and polymer properties. Various strategies for fabricating high-aspect-ratio or hierarchical patterns are reviewed, with emphasis on aligning and ordering of anisotropic polymers. The paper also provides a perspective on the novelty and limitations of EHDP compared to conventional patterning techniques, and suggests possible future research directions.
Article
Polymer Science
Kazuki Tada, Chiaki Ikegaki, Yuki Fuse, Kazuki Tateishi, Hiromitsu Sogawa, Fumio Sanda
Summary: The polycondensation reaction of N-((3,5-diamino)benzoyl)-L-alanine dodecyl ester (1L) with p-phthalaldehyde (2) resulted in the synthesis of a novel optically active polymer, poly(1L-2), containing Schiff base moieties in the main chain. Similar polymers with Schiff base moieties were also synthesized by varying the feed ratios of N-((3,5-diamino) benzoyl)-D-alanine dodecyl ester (1D) and N-((3,5-diamino)benzoyl)glycine dodecyl ester (1G). These polymers exhibited chiral CD signals in CHCl3 solvent, dependent on the molar ratios of 1L/1D and 1L/1G. Poly(1L-2) showed lyotropic liquid crystallinity in CHCl3 and THF solvents.
Article
Mechanics
Ali Mohammadtabar, Hadi Nazaripoor, Adham Riad, Arman Hemmati, Mohtada Sadrzadeh
Summary: This study investigates the pattern formation in shear thinning and shear thickening liquid films induced by thermal effects using linear and nonlinear analyses. The results show that rheological properties influence the timescale and characteristics of the formed features.
Article
Chemistry, Physical
Jing Cui, Aurora Nogales, Tiberio A. Ezquerra, Esther Rebollar
Summary: A bilayer approach is used to create laser-induced periodic surface structures on polymer thin films, even without light absorption at the laser's wavelength. The technique involves nanosctructuring a layer of poly(3-hexylthiophene-2,5-diyl) (P3HT) using 532 nm laser irradiation, and then covering it with a thin layer of a non-absorbing polymer called poly(vinylidene fluoride-trifluoro ethylene) (P(VDF-TrFE)), resulting in a grating-like structure on the surface. The thickness range of the upper layer that leads to the formation of these structures has been determined, and it has been found that a thickness greater than 40 nm inhibits the formation of periodic structures due to mechanical restrictions on P3HT rearrangement. The upper nanostructured surface layer also displays ferroelectric properties.
APPLIED SURFACE SCIENCE
(2023)
Article
Engineering, Chemical
Guowei Lv, Xiaobing Hu, Lu Hao, Hongmiao Tian, Jinyou Shao, Demei Yu
Summary: A semiconducting photocurable resin (SCPR) was developed for facile fabrication of a flexible patterned film, which exhibited diverse micro/nanostructures and followed the characteristic wavelength variations according to the leaky dielectric model of EHDP.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Multidisciplinary Sciences
Xin-Xin Hu, Zhu-Bo Wang, Pengfei Zhang, Guang-Jie Chen, Yan-Lei Zhang, Gang Li, Xu-Bo Zou, Tiancai Zhang, Hong X. Tang, Chun-Hua Dong, Guang-Can Guo, Chang-Ling Zou
Summary: The study demonstrates a method of magnetic-free non-reciprocity by optically-induced magnetization in an atom ensemble. Excellent isolation performance (with highest isolation ratio of 51.5 dB) is observed over a power dynamic range of 7 orders of magnitude, with noiseless property verified by quantum statistics measurements. This approach can be applied to other atoms and atom-like emitters, paving the way for future studies of integrated photonic non-reciprocal devices.
NATURE COMMUNICATIONS
(2021)
Article
Physics, Fluids & Plasmas
Qingzhen Yang, Yankui Liu, Xinmiao Jia, Tingting Zhang, Hongmiao Tian, Jing Fan, Quange Xu, Fenhong Song
Summary: In this study, a two-phase flow numerical model was developed to investigate the dynamic process of thermocapillary patterning. The effects of parameters such as temperature, geometry parameters, and contact angle were also examined.
Review
Polymer Science
Mingjun Qiu, Weiwei Du, Shangyu Zhou, Pengzhe Cai, Yingwu Luo, Xiaoxue Wang, Rong Yang, Junjie Zhao
Summary: This review summarizes the recent progress in non-photolithographic patterning methods, including soft lithography, nanoimprint lithography, direct writing, self-assembly of block copolymers, area-selective vapor phase deposition, and instability-induced patterning. These methods have been applied in various applications such as chromic devices, polymer light-emitting diodes, sensors, transistors, protein and cellular engineering, and more. The challenges and future research directions of non-photolithographic patterning approaches are highlighted, focusing on resolution, reliability, and scalability.
PROGRESS IN POLYMER SCIENCE
(2023)
Article
Polymer Science
Hyun-Seok Choi, Su-Jeong Suh, Sang-Woo Kim, Hyun-Joong Kim, Ji-Won Park
Summary: Utilization of component integration methods in the smart mobile industry has accelerated, leading to the necessity of transparent and flexible EMI shielding technology. This study developed a transparent and flexible EMI shielding material with an intaglio pattern, using UV imprinting technology for mass production. The film exhibited satisfactory EMI shielding performance while maintaining structural stability and transparency, making it suitable for electric and electronic applications.
Article
Materials Science, Multidisciplinary
Sylvain Chevalier, Filippo Fabbri, Khalid Lahlil, Yves Lassailly, Lucio Martinelli, Thierry Gacoin, Jacques Peretti
Summary: Optical properties of hybrid metal-polymer micropillar arrays can be tuned by the photomechanical effect, allowing for potential applications.
PHYSICAL REVIEW MATERIALS
(2022)
Article
Chemistry, Physical
J. Sladek, Y. Levy, T. J-Y Derrien, Z. Bryknar, N. M. Bulgakova
Summary: This study reports the formation of laser-induced periodic surface structures (LIPSS) on the surface of mono-crystalline silicon under specific fabrication conditions. Using a femtosecond laser, LIPSS-covered areas were organized into stripes perpendicular to the scanning direction. The formation process of LIPSS stripes was examined and an explanation based on interpulse feedback from amorphized areas was proposed.
APPLIED SURFACE SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Ryohei Yamakado, Issei Kitamura, Mitsuo Hara, Shusaku Nagano, Takahiro Seki, Hiromitsu Maeda
Summary: Large-scale mass transport driven by the difference in photoisomerization-induced surface tension was demonstrated in ion pairs of anionic azobenzene and a cationic polymer. This material motion enabled fluorescence patterning using a trace amount of photoisomerized azobenzenes in complex form with a pi-electronic system.
CHEMICAL COMMUNICATIONS
(2021)
Article
Optics
Yongbin Zhang, Zhaolu Wang, Nan Huang, Hongjun Liu
Summary: This study proposes a method of image reconstruction using magneto-optically reorientation in bulk nematic liquid crystals to enhance signals by eliminating scattering noise. The response of NLC molecules to diffusive images and the factors influencing nonlinear image recovery are investigated. The results suggest a new approach for image processing.
Article
Optics
H. Kwon, G. D'Aguanno, A. ALu
Summary: An optically transparent microwave absorber based on water-based moth-eye metamaterial structures is proposed, which can absorb electromagnetic waves over a wide spectral band with absorption levels close to 100%. The structure offers exciting opportunities in various civil and military applications, as well as in energy harvesting structures.
Article
Biophysics
Rishabh Gandotra, To -Wen Chen, Feng-Chih Kuo, Mel S. Lee, Gwo-Bin Lee
Summary: In this study, a new microfluidic platform based on magnetic beads and fluorescent probes was developed to detect α-defensin and human neutrophil protein 1 (HNP 1) in synovial fluid. The method showed high sensitivity and specificity, and could rapidly and accurately detect infection biomarkers within 60 minutes. This compact device with a wide dynamic range has great potential for future diagnostics of periprosthetic joint infection.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Agriculture, Dairy & Animal Science
Ruoyu Chen, Yuliang Zhao, Yongliang Yang, Shuyu Wang, Lianjiang Li, Xiaopeng Sha, Lianqing Liu, Guanglie Zhang, Wen Jung Li
Summary: In order to efficiently characterize carcasses of domestic birds in China, a noncontact and automated weighing method was developed. The weight of the duck carcasses was estimated using a convolutional neural network model trained on acquired images. Our model showed improved accuracy compared to existing methods.
Article
Multidisciplinary Sciences
Donghai Yang, Yifan Liu, Qingjiu Chen, Meng Chen, Shaodong Zhan, Nim-kwan Cheung, Ho-Yin Chan, Zhidong Wang, Wen Jung Li
Summary: Light detection and ranging (LiDAR) has been widely used in various fields, such as robotics navigation, autonomous vehicles, unmanned aerial flyers, and land surveying. The multichannel LiDAR system is important for autonomous driving due to its larger field of view (FoV). However, the number of transceivers limits the vertical angular resolution of multichannel LiDAR systems and makes them costly. The emergence of microelectromechanical systems (MEMS) mirrors may provide a low-cost and high-angular resolution solution for LiDAR systems.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Analytical
To-Wen Chen, Rishabh Gandotra, Hwan-You Chang, Mel S. Lee, Feng-Chih Kuo, Gwo-Bin Lee
Summary: This study developed a novel integrated microfluidic system (IMS) for detecting two common periprosthetic joint infection (PJI) biomarkers, alpha defensin human neutrophil peptide 1 (HNP-1) and C-reactive protein (CRP), from synovial fluid (SF). The system automatically carried out a magnetic bead-based one-aptamer-one-antibody assay within 45 minutes on a single chip, enabling simultaneous detection of both biomarkers at specific concentration ranges. It is the first report to utilize these two biomarkers as targets in an on-chip assay, and the IMS showed promising diagnostic accuracy in clinical samples.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Baobing Fan, Wei Gao, Rui Zhang, Werner Kaminsky, Francis R. Lin, Xinxin Xia, Qunping Fan, Yanxun Li, Yidan An, Yue Wu, Ming Liu, Xinhui Lu, Wen Jung Li, Hin-Lap Yip, Feng Gao, Alex K. -Y. Jen
Summary: Organic photovoltaics (OPVs) have made significant progress recently, thanks to the use of well-designed non-fullerene acceptors (NFAs) with conjugated side-groups. Researchers have developed a new class of NFAs with localisomerized conjugated side-groups and studied their impact on device performance and stability. A device based on one of the isomers achieved an impressive efficiency of 18.5% and exhibited excellent photo- and thermal stability. A similar approach was applied to another polymer donor, resulting in an even higher efficiency of 18.8%. This work highlights the effectiveness of local isomerization in enhancing the photovoltaic performance and stability of OPVs based on fused ring NFAs.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Chemistry, Multidisciplinary
Dani S. Assi, Hongli Huang, Vaithinathan Karthikeyan, Vaskuri C. S. Theja, Maria Merlyne de Souza, Ning Xi, Wen Jung Li, Vellaisamy A. L. Roy
Summary: Neuromorphic artificial intelligence systems are the future of ultrahigh-performance computing clusters. Quantum topological neuristors (QTN) with low energy consumption and higher switching speed are introduced to mimic the synapses of mammalian brains. With improved design, QTNs demonstrate top-notch neuromorphic behavior and can be interfaced with artificial neural networks for decision-making operations.
Article
Materials Science, Multidisciplinary
Wen-Jung Li, Kwang-Lung Lin
Summary: The possibility of monitoring the mechanical property, Vickers hardness, of Inconel 600 alloy with electric current stressing was investigated. A combined parameter tD/N, which is the product of current stressing duration tD and current stressing cycle N, was used as the control factor. By appropriately controlling the combined parameter and current stressing density of 7 x 103 A/cm2, a maximum enhancement of microhardness by 19.5% compared to the heat treated benchmark specimen was achieved. The study examined the strengthening mechanism through various techniques including EBSD, XRD, and HRTEM, focusing on grain orientation, grain size, phase transformation, precipitation, and dislocation. A maximum dislocation density of 5 x 1016 m-2 in the 111 direction was observed at ln(tD/N) of -0.69. The enhancement in microhardness was attributed to strain hardening caused by dislocation formation during current stressing.
Review
Engineering, Manufacturing
Jianfei Wang, Jiao Suo, Zhengxun Song, Wen Jung Li, Zuobin Wang
Summary: Nanomaterial-based flexible sensors (NMFSs) are versatile tools for monitoring human physiological information, providing medical data, and exploring metaverse spaces. The use of various nanomaterial frameworks, such as nanoparticles, nanowires, and nanofilms, has advanced the development of NMFSs. Additionally, different triggering interaction interfaces between NMFSs and metaverse/VR applications, as well as the application of machine learning algorithms for virtual interaction technologies, have been discussed in this review.
INTERNATIONAL JOURNAL OF EXTREME MANUFACTURING
(2023)
Article
Chemistry, Analytical
Rishabh Gandotra, Feng-Chih Kuo, Mel S. Lee, Gwo-Bin Lee
Summary: This study introduces a paper-based microfluidic chip for the quantitative detection of HNP 1 in synovial fluid, providing a rapid and cost-effective diagnostic tool for periprosthetic joint infections (PJI) cases. The chip demonstrates high sensitivity and selectivity, with a wide dynamic range, making it a promising solution for PJI diagnosis in clinical settings.
ANALYTICA CHIMICA ACTA
(2023)
Article
Computer Science, Information Systems
Meng Chen, Hui Fang Szu, Hsin Yen Lin, Yifan Liu, Ho-Yin Chan, Yufan Wang, Yuliang Zhao, Guanglie Zhang, Jeffrey Da-Jeng Yao, Wen Jung Li
Summary: This study utilized a smart Internet of Things wristband motion sensor and a phase-based feature selection method to implement data-based sports performance evaluation for improving athlete's skills. By analyzing and identifying the skill levels of volleyball serves using machine learning algorithms, the researchers were able to assess the quality of motions. They also extracted performance metrics based on biomechanical principles to provide feedback and training suggestions to coaches and players, aiming to enhance future performances.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Automation & Control Systems
Yuliang Zhao, Tianang Sun, Zhongjie Ju, Fanghecong Dong, Le Yang, Xiaoyong Lv, Chao Lian, Meng Chen, Wen Jung Li
Summary: In this article, a new time-series skeleton joint data imaging method is introduced into an improved convolutional neural network to address the limitations of traditional methods in terms of computations and holistic learning of human skeletal sequences. Experimental results show that the method achieves an impressive accuracy of 98.02% in recognizing 25 daily human activities.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Chao Lian, Yiming Yang, Xiaodong Yu, Hui Sun, Yuliang Zhao, Guanglie Zhang, Wen Jung Li
Summary: Arrhythmia is a significant symptom of cardiovascular diseases and accurately measuring heart rate is crucial for its detection. This study proposes a method that uses a smartphone camera to accurately measure human heart rate. By employing signal fusion, region of interest selection, and fast Fourier transform analyses, the method achieves a 95.84% detection rate compared to electrocardiography measurements.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Nanoscience & Nanotechnology
Ka Wai Kong, Keer Wang, Alice Yeuk Lan Leung, Hongyu Zhang, Jiao Suo, Meng Chen, Guanglie Zhang, Fei Fei, Jiangang Shen, Wen Jung Li
Summary: We present a new flexible capacitive pressure-pulse sensor array that combines droplet-dispensed graphene oxide (GO) sensing elements with flexible electronics. The use of droplet dispensing technology allows for the rapid fabrication of multiple capacitive sensing elements, resulting in highly sensitive pressure sensors with excellent repeatability. Preliminary characterization shows that these sensors have a sensitivity of approximately 10(-3) kPa(-1) and a relative permittivity of around 6 at a frequency of 600 kHz. Moreover, the printed sensing elements have been successfully used for human wrist pulse sensing. This technology has the potential to be applied in wearable electronics for healthcare applications.
IEEE OPEN JOURNAL OF NANOTECHNOLOGY
(2023)
Article
Automation & Control Systems
Yifan Liu, Meng Chen, Chishing Chan, Ho-yin Chnnan, Jianping Wang, Xinge Yu, Xinyue Li, Wen Jung Li
Summary: This article introduces a wireless IoT motion sensor weighing only 2g, which can be attached to mice to collect continuous motion data for multiple days. It also presents a combined segmentation method and imbalanced learning process for recognizing common and random mouse behaviors in cages, achieving a macro-recall rate of 94.55%.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Automation & Control Systems
Rui Liu, Yudi Zhu, Cong Wu, Hao Guo, Wei Dai, Tianyi Wu, Min Wang, Wen Jung Li, Jun Liu
Summary: Cell counting is an essential step in many biomedical applications, but the traditional microscopic cell counting method is time-consuming and prone to errors. To address these challenges, we propose an interactive dual-network framework that utilizes deep learning to automatically count cells. The framework trains a deep learning model to regress a density map from a given microscope image, and the number of cells can be estimated by integrating over the density map. We also design a hierarchical multi-scale attention-based architecture to accurately regress high-quality density maps. Evaluation experiments demonstrate the superiority of our method.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
