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SSRN 2024年

作者： Zjacić, Josipa Papac Katančić, Zvonimir Kovacic, Marin Kusic, Hrvoje Hrnjak Murgić, Zlata Dionysiou, Dionysios D. Karamanis, Panaghiotis Bozic, Ana Loncaric Faculty of Chemical Engineering and Technology University of Zagreb Marulićev trg 19 Zagreb10000 Croatia University North Trg dr. Žarka Dolinara 1 Koprivnica48000 Croatia Environmental Engineering and Science Program Department of Chemical and Environmental Engineering University of Cincinnati CincinnatiOH45221-0012 United States Université de Pau et des Pays de l’Adour E2S UPPA CNRS IPREM Hélioparc Pau Pyrénées 2 Rue de president Angot Pau64053 France

The widespread presence of microplastics (MP) in water represents an environmental problem, not only because of the harmful effects of their size and potential to vector other pollutants, but also because of the release of additives, degradation products and residues contained in the polymer matrix. The latter includes metallic catalysts, which are often overlooked. This study focuses on the photo-aging of polypropylene (PP) and the resulting structural changes that promote fragmentation to MPs and release of metals, as well as the resulting toxicity of leachates and their potential to inhibit biodegradation of organics in water. The pristine, photo-aged and waste PP are ground under the same regime to assess susceptibility to fragmentation. Obtained PP-MPs are submitted to leaching tests;the release of organics and metals is monitored by TOC and ICP-MS analysis, respectively. The leachates are assessed for their toxicity against Vibrio fischeri, Daphnia magna and Pseudokirchneriella subcapitata and their influence on the biodegradability of the glucose solution. Photo-aging induced changes in the crystallinity and morphology of the PP and manifested in the abundance of smaller MPs, as revealed by the particle size distribution. In the case of pristine PP, all particles were >100 μm in size, while aged PP yielded significant mass fraction of MPs © 2024, The Authors. All rights reserved.

关键词： Polypropylenes

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Fault Diagnosis of Wind Energy Conversion Systems Using Gaussian Process Regression-based Multi-Class Random Forest

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IFAC-PapersOnLine 2022年第6期55卷 127-132页

作者： Majdi Mansouri Radhia Fezai Mohamed Trabelsi Hajji Mansour Hazem Nounou Mohamed Nounou Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Department of Mathematics and Sciences Prince Sultan University Riyadh 11586 Saudi Arabia Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir 5019 Tunisia Electronic and Communications Engineering Department Kuwait College of Science and Technology P. O. Box 27235 Kuwait Higher Institute of Applied Science and Technology of Kasserine University of Kairouan PO Box 471 1200 Kasserine Tunisia Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

This work proposes a new fault diagnosis approach for a wind energy conversion (WEC) system. The proposed technique merges the benefits of feature extraction based on Gaussian Process Regression (GPR) and Multi-Class Random Forest (MCRF)-based fault classification where instances are classified into one or more classes. In the developed GPR-MCRF approach, the nonlinear statistical features including the mean vector M GPR and the variance matrix C GPR are computed using the GPR model with aim of extracting the most relevant features from the WEC system. Then, these features are introduced to the RF classifier for classification and diagnosis purposes. Therefore, the application of the GPR-MCRF technique for WEC systems aims to enhance the use of the classical raw data-based MCRF and diagnosis accuracy. Three kinds of faults (wear-out, open-circuit, and short-circuit faults) are considered in this work. Different case studies are investigated in order to illustrate the effectiveness and robustness of the developed technique compared to the state-of-the-art methods. The obtained results show that the the developed GPR-MCRF technique is an effective feature extraction and fault diagnosis technique for WEC systems.

关键词： Random Forest (RF) Multi-Class Gaussian Process Regression (GPR) Fault Diagnosis Wind Energy Conversion Systems

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Novel synthesis of manganese cobalt layered double hydroxide and sulfur-doped nickel cobalt layered double hydroxide composite as efficient active material of battery supercapacitor hybrids

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Journal of Energy Storage 2023年 57卷

作者： Hsiao, Yu-Cheng Liao, Chen-Hao Hsu, Chia-Shuo Yougbaré, Sibidou Lin, Lu-Yin Wu, Yung-Fu International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA94305-5428 United States Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei11696 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Department of Chemical Engineering Ming Chi University of Technology New Taipei City24301 Taiwan

Nickel and cobalt layered double hydroxide (NiCo-LDH) is one of promising active materials of battery supercapacitor hybrids (BSH) as the clean renewable energy. Designing composites and doping heteroatoms are widely applied to solve poor conductivity, serious agglomeration, and structural defects of NiCo-LDH. In this work, manganese cobalt LDH (MnCo-LDH) is firstly incorporated in sulfur-doped NiCo-LDH (S-NiCo-LDH) on Ni foam (NF) via the hydrothermal process as a binder-free electrode of BSH. Favorable morphology with nanowires covered on the vertical grown nanosheet array is successfully designed for MnCo-LDH/S-NiCo-LDH with the large specific surface area and the well-established pore structure. The specific capacitances (CF) of 681.4, 953.9 and 1581.3 F/g are respectively achieved for the NiCo-LDH, S-NiCo-LDH, MnCo-LDH/S-NiCo-LDH electrodes at the current density of 1 A/g. The larger CF value of MnCo-LDH/S-NiCo-LDH is due to larger conductivity and effective charge transfer paths. A BSH assembled using MnCo-LDH/S-NiCo-LDH/NF and graphene/NF electrodes shows a wide potential window of 1.6 V, a large maximum energy density of 46.6 Wh/kg at 0.8 kW/kg, and an excellent cyclic stability with the CF retention of 81% and the Coulombic efficiency higher than 87% after 10,000 times charge/discharge process at the current density of 7 A/g. © 2022

关键词： Supercapacitor

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Conditional Generative Modeling for Amorphous Multi-Element Materials

arXiv

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arXiv 2025年

作者： Li, Honglin Liu, Chuhao Guo, Yongfeng Luo, Xiaoshan Chen, Yijie Liu, Guangsheng Li, Yu Wang, Ruoyu Wang, Zhenyu Wu, Jianzhuo Ma, Cheng Xie, Zhuohang Lv, Jian Ding, Yufei Zhang, Huabin Luo, Jian Zhong, Zhicheng Li, Mufan Wang, Yanchao Li, Wan-Lu Key Laboratory of Material Simulation Methods and Software Ministry of Education College of Physics Jilin University Changchun China Aiiso Yufeng Li Family Department of Chemical and Nano Engineering University of California La Jolla San DiegoCA United States Institute of Molecular Engineering Plus College of Chemistry Fuzhou University Fuzhou China College of Chemistry and Molecular Engineering Peking University Beijing China School of Physics Nankai University Tianjin China Institute of Modern Physics Fudan University Shanghai China Program in Materials Science and Engineering University of California La Jolla San DiegoCA United States School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China International Center of Future Science Jilin University Changchun China Department of Computer Science and Engineering University of California La Jolla San DiegoCA United States Center for Renewable Energy and Storage Technologies Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Suzhou Lab Suzhou215123 China

Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and the vast configurational space. Traditional modeling struggles to capture the intricate short-range order that dictates their stability and functionality. We here introduce ApolloX, a pioneering predictive framework for amorphous multi-element materials, establishing a new paradigm by integrating physics-informed generative modeling with particle swarm optimization, using chemical short-range order as an explicit constraint. By systematically navigating the disordered energy landscape, ApolloX enables the targeted design of thermodynamically stable amorphous configurations. It accurately predicts atomic-scale arrangements, including composition-driven metal clustering and amorphization trends, which are well-validated by experiments, while also guiding synthesis by leveraging sluggish diffusion to control elemental distribution and disorder. The resulting structural evolution, governed by composition, directly impacts catalytic performance, leading to improved activity and stability with increasing amorphization. This predictive-experimental synergy transforms the discovery of amorphous materials, unlocking new frontiers in catalysis, energy storage, and functional disordered systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Amorphization

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Elastocaloric effect in amorphous polymer networks undergoing mechanotropic phase transitions

arXiv

引用

arXiv 2021年

作者： Koch, Jeremy A. Herman, Jeremy A. White, Timothy J. University of Colorado Boulder Department of Chemical and Biological Engineering United States University of Colorado Boulder Materials Science and Engineering Program United States

Deformations of amorphous polymer networks prepared with significant concentrations of liquid crystalline mesogens have been recently reported to undergo mechanotropic phase transitions. Here, we report that these mechanotropic phase transitions are accompanied by an elastocaloric response (∆T = 2.9 K). Applied uniaxial strain to the elastomeric polymer network transitions the organization of the material from a disordered, amorphous state (order parameter Q = 0) to the nematic phase (Q = 0.47). Both the magnitude of the elastocaloric temperature change and mechanically induced order parameter are dependent on the concentration of liquid crystal mesogens in the material. While the observed temperature changes in these materials are smaller than those observed in shape memory alloys, the responsivity, defined as the temperature change divided by the input stress, is larger by an order of magnitude. © 2021, CC BY-NC-SA.

关键词： Liquid crystals

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Magnetically separable silica-chitosan hybrids for efficient phosphate adsorption in aqueous solution

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Case Studies in chemical and Environmental engineering 2025年 11卷

作者： Nuryono, Nuryono Sukamto, Sukamto Kunarti, Eko Sri Krisbiantoro, Philip Anggo Wan Abdullah, Wan Nazwanie Kamiya, Yuichi Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada Bulaksumur Yogyakarta 55281 Indonesia of Life Science Hokkaido University Kita 10 Nishi 8 Kita-ku Sapporo 060-0810 Japan International Graduate Program of Molecular Science and Technology National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 11529 Taiwan Department of Chemical Engineering College of Engineering National Taiwan University Taipei 10617 Taiwan School of Chemical Science Universiti Sains Malaysia Gelugor Penang 11800 Malaysia Faculty of Environmental Earth Science Hokkaido University Nishi 5 Kita 10 Kita-ku Sapporo 060-0810 Japan

In the present study, magnetic silica-chitosan hybrid (NMP@SiO2/CPTMS/Chi) was synthesized via a convenient and green sol-gel technique under room temperature, and the material was used as a highly efficient magnetic ... 详细信息

In the present study, magnetic silica-chitosan hybrid (NMP@SiO₂/CPTMS/Chi) was synthesized via a convenient and green sol-gel technique under room temperature, and the material was used as a highly efficient magnetic adsorbent for the removal of phosphate ions in water. While the magnetic properties of NMP from iron enable the material to be quickly separated via magnetic separation, the abundant active sites from the chitosan made the hybrid exhibit high adsorption capacity for phosphate ions. At pH 6, the removal of phosphate ions followed the pseudo-second-order (PSO) kinetic model with the adsorption rate constant (k₂) of 5.9 × 10^-3 mg g⁻¹ min⁻¹ and obeyed the Langmuir isotherm model with a maximum adsorption capacity (q_max) of 15.06 mg g⁻¹, outperforming most of the previously reported adsorbents. Stability tests and derivative thermogravimetry (DTG) analysis demonstrated that NMP@SiO₂/CPTMS/Chi remained stable even under strongly acidic conditions and possessed high thermal stability, respectively. The synergistic combination of high adsorption capacity, acid stability, thermal stability, and facile magnetic separation renders NMP@SiO₂/CPTMS/Chi a promising adsorbent for wastewater treatment and environmental remediation. Overall, this innovative material represents a significant advancement in phosphate removal, offering a sustainable and effective solution to address the global challenge of water pollution and protect aquatic ecosystems. © 2025 The Authors

关键词： Adsorption Chitosan Magnetic material Phosphate Silica Sol-gel

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IDCIA: Immunocytochemistry Dataset for Cellular Image Analysis

arXiv

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arXiv 2024年

作者： Mohammed, Abdurahman Ali Fonder, Catherine Sakaguchi, Donald S. Tavanapong, Wallapak Mallapragada, Surya K. Idris, Azeez The Department of Computer Science Iowa State University AmesIA50011 United States The Neuroscience Program Iowa State University AmesIA50011 United States Nanovaccine Institute Iowa State University AmesIA50011 United States The Department of Chemical and Biological Engineering Iowa State University AmesIA50011 United States

We present a new annotated microscopic cellular image dataset to improve the effectiveness of machine learning methods for cellular image analysis. Cell counting is an important step in cell analysis. Typically, domain experts manually count cells in a microscopic image. Automated cell counting can potentially eliminate this tedious, time-consuming process. However, a good, labeled dataset is required for training an accurate machine learning model. Our dataset includes microscopic images of cells, and for each image, the cell count and the location of individual cells. The data were collected as part of an ongoing study investigating the potential of electrical stimulation to modulate stem cell differentiation and possible applications for neural repair. Compared to existing publicly available datasets, our dataset has more images of cells stained with more variety of antibodies (protein components of immune responses against invaders) typically used for cell analysis. The experimental results on this dataset indicate that none of the five existing models under this study are able to achieve sufficiently accurate count to replace the manual methods. The dataset is available at https://***/articles/dataset/Dataset/21970604. © 2024, CC BY.

关键词： Fluorescence microscopy

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Catharanthus roseus-mediated CuAl2O4 nanocomposites for evaluation of killing kinetics

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Chemosphere 2024年 359卷 142369页

作者： Potbhare, Ajay K. Yerpude, Sachin Daddemal-Chaudhary, Ankita R. Lambat, Ashish Mondal, Aniruddha Dadure, Kanhaiya M. Rai, Alok R. Abdala, Ahmed Chaudhary, Ratiram G. Department of Chemistry S. K. Porwal College of Arts and Science and Commerce Kamptee441001 India Department of Microbiology S. K. Porwal College of Arts and Science and Commerce Kamptee441001 India Lady Amritabai Daga College for Women of Arts Commerce and Science Nagpur440010 India Post Graduate Teaching Department of Botany RTM Nagpur University Nagpur440033 India Department of Biology Sevadal Mahila Mahavidyalaya Nagpur India Division of Materials Science Lulea University of Technology Lulea97187 Sweden Department of Chemistry Bajaj College of Science Wardha India Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

The present article portrayed on the killing kinetic of human pathogenic bacteria using bioinspired mesoporous CuAl2O4 nanocomposites (NCs). The NCs was fabricated using leaf extract of medicinal plant Catharanthus roseus (CR) as a green reducer and stabilizer. As bio-fabricated material was calcined at 800 °C and characterized by several analytical techniques like X-ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FT-IR), Ultraviolet–Visible Diffuse Reflectance Spectroscopy (UV-DRS), Energy Dispersive X-Ray Spectroscopy (EDS), X-Ray Photoelectron Spectroscopy (XPS), Raman, Brunauer-Emmett-Teller (BET), Scanning Electron Microscopy (SEM), and Transmission Electron Microscopy (TEM) to authenticate its structure, phase, chemical bonding, chemical state, size and morphology behaviors. XRD and TEM revealed a reduced crystallite and nanoscale sizes of biosynthesized NCs. Moreover, XRD study exposed a cubic-structure of material, while transmission electron microscopy rendered an average particles size in range 10–15 nm. However, BET profile advocates a mesoporous nature of the particles. An effective biological molecular docking modulation assessed by substituting natural inhibitor by bioinspired NCs, while the protein PDB ID 4Z8D FabH as a receptor site for the present investigation. After assessment of molecular docking examination, the antibacterial activity of bioinspired NCs were performed against Staphylococcus aureus, Bacillus subtillis, Klebsiella pneumoniae and Escherichia coli using agar-well method. The broth culture method was employed on different pathogenic strains by kinetic growth assays and colony forming unit. © 2024 Elsevier Ltd

关键词： Nanocomposites

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Novel entrance and exit designs towards fully developed dual Vortexes in cyclone separators

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Advanced Powder Technology 2025年第7期36卷

作者： Wang, C.M. Wang, T.F. Fukui, K. Fukasawa, T. Hsu, W.Y. Huang, A.N. Kuo, H.P. Department of Chemical Engineering National Taiwan University Taipei106319 Taiwan Chemical Engineering Program of Advanced Science and Engineering Hiroshima University 739-8527 Japan Center for Sustainability and Energy Technologies Chang Gung University Taoyuan33302 Taiwan Department of Chemical Engineering National Taiwan University of Science and Technology Taipei106335 Taiwan

Stairmand-type cyclones are commonly used in industry to separate particles from gas streams by inertia, driven by the dual-vortex flow patterns. Here, new designs are proposed to eliminate the local non-ideal vortex patterns in a conventional Stairmand cyclone by inserting a flow divider at the entrance and adjusting the elbow exit orientation. A two-way coupled CFD–DPM approach is employed to analyze the performance of the modified cyclones. Simulation results show that the cyclone with the elbow exit oriented orthogonal to the entrance direction demonstrates better performance in terms of the cut size and sharpness. The installation of the flow divider reduces the vortex eccentricity by approximately 50%. The flow divider increases the gas velocity near the outer wall, allowing the quasi-free vortex in the cyclone's outer region to become nearly fully developed at the entrance section through the reduction of the local secondary recirculation flows. The optimum flow divider outer wall thickness correlates to the wall shear stress distribution. With the optimum 2 mm outer wall thickness flow divider installed, the separation efficiency for 2 μm particles increases from 56.74% to 77.4%, and the cut size decreases from 1.87 μm to 1.23 μm. © 2025 The Society of Powder Technology Japan

关键词： Shear stress

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Snake-scale stimulated robust biomimetic composite triboelectric layer for energy harvesting and smart health monitoring

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Nano Energy 2024年 122卷

作者： Huang, Ming-Zheng Parashar, Parag Chen, An-Rong Shi, Shih-Chen Tseng, Yao-Hsuan Lim, Kee Chin Yeh, Hsuan-Yu Pal, Arnab Kang, Dun-Yen Lin, Zong-Hong Institute of Biomedical Engineering National Tsing Hua University Hsinchu 30013 Taiwan Department of Biomedical Engineering National Taiwan University Taipei 10617 Taiwan Department of Chemical Engineering National Taiwan University Taipei 10617 Taiwan Department of Materials Science and Engineering National Tsing Hua University Hsinchu 30013 Taiwan Department of Mechanical Engineering National Cheng Kung University Tainan 70101 Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu 30013 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu 30013 Taiwan Internet of Senses Research Center National Tsing Hua University Hsinchu 30013 Taiwan

Extreme frictional wear of triboelectric layers severely hinders long-term sustainability of triboelectric nanogenerators (TENGs) for efficient ambient energy harvesting. The state-of-the-art solutions necessitate sophisticated structural designs and complex packaging constraints, impeding the feasibility of TENGs for practical applications. Herein, inspired by the structures and compositions of snake scales, a biomimetic composite (BC) film is fabricated as a wear-resistant triboelectric contact layer. The successful formation of disulfide bond-facilitated cross-linkage of cysteine proteins in the keratin-based BC film promotes excellent mechanical resilience and durability, thereby solving the material abrasion challenges associated with solid-solid triboelectric layers. The BC film, with toothed microstructure, exhibits improved charge transfer, low friction, and consistent long-term stable outputs compared to commercial films. Furthermore, a self-powered BC film-based TENG is integrated into a bicycle for biomechanical energy harvesting, lightening warning signals for safer night ride with stable 300 V electrical output for at least 6 h. Moreover, a smart health monitoring system is further proposed by embedding TENG-based sensors into the bicycle saddle, accurately capturing the rider's pelvic-saddle interactions on varying terrain slopes. By leveraging the unique biomechanical information, machine learning-assisted user identification and terrain slope data classifications are achieved with high accuracies, laying a foundation for futuristic smart healthcare applications. This work provides a strategy to reduce material abrasion by exploiting the unique characteristics of a biomimetic material, facilitating a basis for efficient environmental energy harvesting and smart sensing. © 2024 Elsevier Ltd

关键词： Biomechanical energy harvesting Biomimetic Smart healthcare Snake-scales Triboelectric nanogenerator Wear resistance

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