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Energy transfer study on dense and transparent Eu3+/Tb3+-coactivated TeO2-Gd2O3-WO3-ZnO glass scintillators

Journal of Rare Earths 2025年

作者： Wu, Miaochun Yu, Meidong Cheng, Xi Zhang, Guifang Liu, Jiandi Hu, Zuofu Wen, Yufeng Cui, Jiuzhi Xiao, Zhuohao Sun, Xin-Yuan Department of Physics Jinggangshan University Ji'an343009 China School of Materials Science and Engineering Jingdezhen Ceramic University Jingdezhen333403 China

Tb3+-, Eu3+-activated and Eu3+/Tb3+-coactivated TeO2-Gd2O3-WO3-ZnO (TGWZ) glasses with the density of about 6.60 g/cm3 were successfully synthesized by a melt-quenching method. These glass scintillators show a line transmittance coefficient in excess of 80% in the strongest green-emitting regions of Tb3+ ions. The optimal concentration of incorporated Tb3+ and Eu3+ ions and the corresponding interaction mechanism are determined in both Tb3+ and Eu3+-activated TGWZ glasses. Compared with that of Tb3+-activated TGWZ glasses, the luminous intensity of the Eu3+/Tb3+-coactivated TGWZ glasses is enhanced by 7.6 times, which can be attributed to the effective energy transfer (ET) from Tb3+ to Eu3+ ions. By investigating the concentration-dependent optical properties of these glasses including transmittance, photoluminescence (excitation and emission spectra), photoluminescence decay, the mechanism of ET in Eu3+/Tb3+-coactivated TGWZ glass scintillators is obtained. Also, the potential scintillation properties of the TGWZ glass scintillators are discussed by X-excited luminescence (XEL) spectra and the corresponding X-ray dose response tailored by various current intensity within 0–240 μA (which corresponding to 0–40000 mGy) © 2025

关键词： Photoluminescence

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Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation

arXiv

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arXiv 2023年

作者： Zhao, Xiaodong Luo, YiXuan Liu, Juejing Liu, Wenjun Rosso, Kevin M. Guo, Xiaofeng Geng, Tong Li, Ang Zhang, Xin Pacific Northwest National Laboratory RichlandWA99354 United States Department of Chemistry Washington State University Pullman99164 United States Department of Electrical and Computer Engineering University of Rochester New York14627 United States Materials Science and Engineering Program Washington State University Pullman99164 United States

Manual analysis of XRD data is usually laborious and time consuming. The deep neural network (DNN) based models trained by synthetic XRD patterns are proved to be an automatic, accurate, and high throughput method to analysis common XRD data collected from solid sample in ambient environment. However, it remains unknown that whether synthetic XRD based models are capable to solve µ-XRD mapping data for in-situ experiments involving liquid phase exhibiting lower quality with significant artifacts. In this study, we collected µ-XRD mapping data from an LaCl3-calcite hydrothermal fluid system and trained two categories of models to solve the experimental XRD patterns. The models trained by synthetic XRD patterns show low accuracy (as low as 64%) when solving experimental µ-XRD mapping data. The accuracy of the DNN models was significantly improved (90% or above) when training them with the dataset containing both synthetic and small number of labeled experimental µ-XRD patterns. This study highlighted the importance of labeled experimental patterns on the training of DNN models to solve µ-XRD mapping data from in-situ experiments involving liquid phase. Copyright © 2023, The Authors. All rights reserved.

关键词： Deep neural networks

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Construction of dual Z-scheme Ag3VO4–BiVO4/InVO4 photocatalysts using vanadium source from spent catalysts for contaminated water treatment and bacterial inactivation

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Chemosphere 2024年 363卷 142746页

作者： Lee, Kuen-Chan Hsu, Shih-Chieh Huang, Jen-Hsien Wang, Kuan-Syun Pang, Wei Kong Hu, Chih-Wei Jiang, Yi-Jhen Cho, Er-Chieh Weng, Huei Chu Liu, Ting-Yu Department of Science Education National Taipei University of Education No. 134 Sec. 2 Heping E. Road Da-an District Taipei City106 Taiwan PhD Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University 250 Wuxing Street Taipei City110 Taiwan Department of Chemical and Materials Engineering Tamkang University No. 151 Yingzhuan Road Tamsui District New Taipei City25137 Taiwan Department of Green Material Technology Green Technology Research Institute CPC Corporation No.2 Zuonan Rd. Nanzi District Kaohsiung City81126 Taiwan Department of Materials Engineering Ming Chi University of Technology New Taipei City243303 Taiwan Faculty of Engineering Institute for Superconducting & Electronic Materials University of Wollongong WollongongNSW Australia National Synchrotron Radiation Research Center 101 Hsin-Ann Road Hsinchu Science Park Hsinchu30076 Taiwan School of Pharmacy College of Pharmacy Taipei Medical University 250 Wuxing Street Taipei City110 Taiwan Department of Mechanical Engineering Chung Yuan Christian University No. 200 Chungpei Road Chungli District Taoyuan City32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan City32003 Taiwan College of Engineering & Center for Sustainability and Energy Technologies Chang Gung University Taoyuan33302 Taiwan

Vanadate-based photocatalysts have recently attracted substantial attention owing to their outstanding photocatalytic activity for degrading organic pollutants and generating energy via photocatalytic processes. However, the relatively high price of vanadium has hindered the development of vanadate-based photocatalysts for various applications. Spent catalysts obtained from oil refineries typically contain a significant quantity of vanadium, making them valuable for recovery and utilization as precursors for the production of high-value-added photocatalysts. In this study, we transformed the V present in spent catalysts produced by the petrochemical industry into ternary vanadate-based photocatalysts [BiVO4/InVO4/Ag3VO4 (BVO/IVO/AVO, respectively)] designed for water remediation. The ternary composites revealed an enhanced photocatalytic capability, which was 1.42 and 5.1 times higher than those of the binary BVO/IVO and pristine AVO due to the facilitated charge separation. The ternary photocatalysts not only effectively treated wastewater containing various organic dyes, such as methylene blue (MB), rhodamine 6G (R6G), and brilliant green (BG), but also exhibited remarkable photocatalytic performance in the degradation of antibiotics, reduction of Cr(VI), and bacterial inactivation. This paper proposes a feasible route for recycling industrial waste as a source of vanadium to produce highly efficient vanadate-based photocatalysts. © 2024 Elsevier Ltd

关键词： Water pollution

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Tumor vasculature vs tumor cell targeting: Understanding the latest trends in using functional nanoparticles for cancer treatment

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OpenNano 2023年 11卷

作者： Awad, Nahid S Salkho, Najla M Abuwatfa, Waad H Paul, Vinod AlSawaftah, Nour M Husseini, Ghaleb A Department of Chemical Engineering College of Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates Materials Science and Engineering Program College of Arts and Sciences American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates

Delivering drugs to tumors using nanoparticles (NPs) has shown promising potential in promoting targeted drug delivery of antineoplastic agents to enhance their efficiency while reducing the associated systemic toxicity. This review highlights the different types of NPs and the physiological characteristics of the tumor microenvironment (TME), and the mechanisms undertaken to safely deliver drugs to specific lesions. We review the principles and latest developments in the field of targeted NPs designed to target tumor vasculature compared to those designed to target cancer cells and their correlation with the TME. We discuss the advantages and limitations of each targeted drug delivery mechanism and future directions aiming to maximize their potential. © 2023 The Author(s)

关键词： Cancer treatment Cell targeting Nanoparticles Tumor Tumor vasculature

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Acid-labile chemical bonds-based nanoparticles for endosome escape and intracellular delivery

Biomedical Technology

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Biomedical Technology 2023年 3卷 52-58页

作者： Ruoyu Cheng Shiqi Wang Hélder A. Santos Department of Biomedical Engineering University Medical Center Groningen University of Groningen 9713 AV Groningen the Netherlands W.J. Kolff Institute for Biomedical Engineering and Materials Science University Medical Center Groningen University of Groningen 9713 AV Groningen the Netherlands Drug Research Program Division of Pharmaceutical Chemistry and Technology Faculty of Pharmacy University of Helsinki FI-00014 Helsinki Finland

In the last years there has been a booming in the development of biological pharmaceuticals, and various nanoparticle delivery systems have been developed to overcome biological barriers to maximize the therapeutic potentials. Especially, when these drug-loaded nanoparticle systems arrive at the target cells, they must be successfully internalized into the cells, followed by the endosome escape, to release the payload in the cytoplasm. This is crucial so that the payloads are not degraded in the endosome (around pH 6.8–6.0) or lysosome (around pH 4.5). Considering the acid environment of the endosome, several studies have shown the design of different acid-labile nanoparticle delivery systems attempting to achieve endosome escape by, for example, endosomal rupture, membrane destabilization, and membrane fusion. In this mini-review, we summarize current designs in acid-labile chemical bonds for endosome escape of nanosystems. First, we briefly introduce the structural design of acid-labile nanoparticles and their endosomal escape mechanisms. Then, we review recent research work on the topic, highlighting how the nanoparticle designs can be used in endosome escape for different biomedical applications. Finally, we discuss the challenges and future perspectives in this field.

关键词： Intracellular delivery pH-responsive Acid-labile Nanoparticle Endosomal escape

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An electronic nose using a single graphene FET and machine learning for water, methanol, and ethanol

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Microsystems & Nanoengineering 2020年第1期6卷 969-981页

作者： Takeshi Hayasaka Albert Lin Vernalyn C.Copa Lorenzo P.Lopez Jr Regine A.Loberternos Laureen Ida M.Ballesteros Yoshihiro Kubota Yumeng Liu Arnel A.Salvador Liwei Lin Berkeley Sensor and Actuator Center&Department of Mechanical Engineering University of California at BerkeleyBerkeleyCA 94720USA Materials Science and Engineering Program College of ScienceUniversity of the Philippines Diliman1101 Quezon CityPhilippines National Institute of Physics College of ScienceUniversity of the Philippines Diliman1101 Quezon CityPhilippines

The poor gas selectivity problem has been a long-standing issue for miniaturized chemical-resistor gas *** electronic nose(e-nose)was proposed in the 1980s to tackle the selectivity issue,but it required top-down chemical functionalization processes to deposit multiple functional ***,we report a novel gas-sensing scheme using a single graphene field-effect transistor(GFET)and machine learning to realize gas selectivity under particular conditions by combining the unique properties of the GFET and e-nose *** of using multiple functional materials,the gas-sensing conductivity profiles of a GFET are recorded and decoupled into four distinctive physical properties and projected onto a feature space as 4D output vectors and classified to differentiated target gases by using machine-learning *** single-GFET approach coupled with trained pattern recognition algorithms was able to classify water,methanol,and ethanol vapors with high accuracy quantitatively when they were tested ***,the gas-sensing patterns of methanol were qualitatively distinguished from those of water vapor in a binary mixture condition,suggesting that the proposed scheme is capable of differentiating a gas from the realistic scenario of an ambient environment with background *** such,this work offers a new class of gas-sensing schemes using a single GFET without multiple functional materials toward miniaturized e-noses.

关键词： methanol selectivity electronic

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Interaction between Nanofibrillated Cellulose (Nfc) and Portland Cement Mortars Subjected to Alkali-Aggregate Reaction (Aar)

SSRN

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SSRN 2024年

作者： Farias, Marcelo Miranda Pereira, Eduardo de Melo Carvalho, Benjamim Goncalves, Jose de Medeiros, Marcelo Henrique Farias Graduate Program in Materials Science and Engineering State University of Ponta Grossa Avenida Carlos Cavalcanti 4748 Uvaranas Ponta GrossaCEP: 84030-900 Brazil Department of Civil and Environmental Engineering The University of Alberta EdmontonABT6G 1H9 Canada Department of Civil Construction – Polytechnical Center Paraná CuritibaCEP: 81.530-000 Brazil

HIGHLIGHTS• NFC can increase the compressive strength of cement pastes by up to 59%.• NFC degrades in the pore solution of mortars after 60 days of curing;• NFC degradation reduces the tensile strength of cement pastes and mortars;• NFC can mitigate the effects of alkali-aggregate reaction in mortars;• NFC fibers act as a "stress reserve" in expansive mechanisms caused by AAR. © 2024, The Authors. All rights reserved.

关键词： Mortar

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An application of conjugate gradient technique for determination of thermal conductivity as an inverse engineering problem

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materials Today: Proceedings 2021年 47卷 3082-3087页

作者： Vivek Pandey Addisu Bekele Gulam Mohammed Sayeed Ahmed Nand Jee Kanu Gyanendra Kumar Singh Department of Thermal and Aerospace Engineering School of Mechanical Chemical and Materials Engineering Adama Science and Technology University Adama Ethiopia Centre of Excellence for Advanced Manufacturing Engineering Program of Mechanical Design and Manufacturing Engineering School of Mechanical Chemical and Materials Engineering Adama Science and Technology University Adama Ethiopia Department of Mechanical Engineering S. V. National Institute of Technology Surat India Department of Mechanical Design and Manufacturing Engineering School of Mechanical Chemical and Materials Engineering Adama Science and Technology University Adama Ethiopia

Inverse problems frequently occur when boundary conditions/thermal properties of a material are unknown, and are determined from known internal temperature measurements. A direct problem is the opposite of an inverse problem. For example, it would be the task of determining the temperature field within a material body, given boundary conditions and thermal properties. In an ill-posed, inverse problem, small variations in internal temperature measurement cause large variations in the estimated quantity such as boundary heat flux. Measured temperature variations may be due to noise, measurement error and instrumentation error, among other factors. There are various methods for solving inverse problems in materials engineering. In the paper, an inverse problem of estimating boundary heat flux for one-dimensional heat conduction is solved using the classical method of Beck and temperature dependent thermal conductivity is estimated using the more recent and advanced Conjugate Gradient method (CGM). The temperature values from the finite difference application to a direct heat transfer problem are used along with noise added to the data, in order to simulate real world, experimental conditions. The data is applied to the inverse problem of finding boundary heat flux and thermal conductivity. It is seen that Conjugate Gradient Method (CGM) along with sequential function specification method recovers the boundary heat flux and thermal conductivity quite accurately for noise levels of 1% and 2%. It is further observed that addition of future time steps stabilize the algorithm and increase accuracy of the desired results. It is also observed that CGM can recover the temperature dependent thermal conductivity quickly within few iterations, for different values of thermal conductivity function coefficients, k 0 and k 1 . CGM is found to be fast and robust when applied to one-dimensional case and can be extended to complex geometries.

关键词： Inverse problem Thermal conductivity Conjugate gradient

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Effect of Polyisoprene Microstructure on the Thermodynamics, Viscoelastic, and Dielectric Properties in the Bulk and during Flow in Nanopores

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Macromolecules 2025年第12期58卷 6052-6065页

作者： Panagiotis Kardasis Michail Danikas Nikolaos Patelis Konstantinos Ntetsikas Nikos Hadjichristidis George Floudas Department of Physics University of Ioannina 45110 Ioannina Greece Polymer Synthesis Laboratory Chemistry Program KAUST Catalysis Center Physical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955 Saudi Arabia Department of Physics University of Ioannina 45110 Ioannina Greece；Max Planck Institute for Polymer Research Ackermannweg 10 55128 Mainz Germany；University Research Center of Ioannina (URCI)─Institute of Materials Science and Computing 45110 Ioannina Greece

We report the effect of polyisoprene (PI) microstructure on the thermodynamics, viscoelasticity, and molecular dynamics, the latter via dielectric spectroscopy in bulk and during flow in cylindrical nanopores. A series of monodisperse PIs with microstructurescis-1,4,trans-1,4, 3,4, and 1,2 are synthesized via anionic polymerization using high-vacuum techniques using polar additives. In thermodynamics, we show that the liquid-to-glass temperature (Tg) decreases linearly with 1,4 units content asTg[K] = (289 ± 4)–0.9 ×w1,4%, whereas it increases quadratically with 3,4-units content asTg=Tg0%+(w3,4%)250[K]. Scaling of specific heats,cpglass,cpliquid,Tg, and the increment in specific heat atTg(Δcp) are established as a function of microstructure. In rheology, the zero-shear viscosity scales as η0= η0%×w1,4%–u, whereu= 5.4 ± 0.3. Despite this, the plateau modulus is independent of microstructure. All dielectrically active processes are strongly affected by microstructure. The dielectric strength of the β- and α-processes increases strongly with increasing 3,4-unit content, whereas that of the chain mode decreases precipitously. The calculated component of dipole moment along the polymer backbone scales with microstructure as μcis–1,4> μtrans–1,4> μ1,2> μ3,4≈ 0. The β-process shifts withTgand has characteristics of a Johari–Goldstein process with activation energies predicted by the coupling model. Lastly, we show that it is possible to separate blend components comprising different microstructures by the way of penetration within cylindrical nanopores, giving another example of what is known as “topology sorting.”

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Chiral metal-organic framework based spin-polarized flexible photodetector with ultrahigh sensitivity

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materials Today Nano 2023年 21卷

作者： Mustaqeem, M. Kamal, S. Ahmad, N. Chou, P.-T. Lin, K.-H. Huang, Y.-C. Guo, G.-Y. Paul Inbaraj, C.R. Li, W.-K. Yao, H.-C. Lu, K.-L. Chen, Y.-F. Department of Chemistry National Taiwan University No. 1 Section 4 Roosevelt Rd Taipei10617 Department of Physics National Taiwan University No. 1 Section 4 Roosevelt Rd Taipei10617 Nano-Science and Technology Program Taiwan International Graduate Program Institute of Physics Academia Sinica Taipei106 Taiwan Institute of Chemistry Academia Sinica Taipei115 Taiwan Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Institute of Physics Academia Sinica Taipei11529 Taiwan Department of Materials Engineering Ming Chi University of Technology

Spin-optoelectronics plays a key role in developing next-generation technologies with potential applications covering from pharmaceutical synthesis and quantum computing to optical communication. One of the most feasible ways to achieve high-performance spin optoelectronic devices is based on chiral materials. Chiral metal-organic frameworks (CMOFs), an emerging class of chiral hybrid materials, have sparked interest due to their structural variety and flexibility, order nanopores, cost-effectiveness, and unique chirality features. Herein, we have developed CMOF [Sr (9,10-adc) (DMAc)2]n based on achiral building blocks [(9,10-adc)] to detect circularly polarized light (CPL) with ultrahigh sensitivity. Their application in spin-polarized flexible detectors gives a detectivity (D∗) as high as 1.83 × 1012 jones, superior to all reported heterochiral MOF-based detectors. Meanwhile, the anisotropy factor (gIph) is up to 0.38 for CPL detection. The maximum photoresponsivity (Rph) and photogain (η) values of CMOFs reach up to 6.0 × 105 (A/W) and 1.8 × 106, respectively, which are also the record values among reported chiral MOFs. Additionally, the photodetector is mechanically flexible and durable, manifesting an important feature for wearable devices. Therefore, our study shown here is significant and timely to open a route for advancing spin-optoelectronics based on CMOF. © 2023 Elsevier Ltd

关键词： Photodetectors

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