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The Review of scientific instruments 2020年第8期91卷 089901页

作者： Harshal Gade Nitin Parsa O Steve Roberts George G Chase Darell H Reneker Department of Chemical and Biomolecular Engineering The University of Akron 185 E. Mill St. Akron Ohio 44325 USA. Department of Electrical and Computer Engineering The University of Akron Akron Ohio 44325 USA. Department of Polymer Science Goodyear Polymer Centre The University of Akron Akron Ohio 44325-3909 USA.

D. Lolla, L. Pan, H. Gade, and G. G. Chase, “Functionalized polyvinylidene fluoride electrospun nanofibers and Applications,” in Electrospinning Method Used to

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Blended Conjugated Host and Unconjugated Dopant Polymers Towards N-type All-Polymer Conductors and High-ZT Thermoelectrics

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Angewandte Chemie 2023年第23期135卷

作者： Jinfeng Han Yufeng Jiang Emma Tiernan Connor Ganley Yunjia Song Taein Lee Arlene Chiu Patty McGuiggan Nicholas Adams Paulette Clancy Thomas P Russell Patrick E. Hopkins Susanna M. Thon John D. Tovar Howard E. Katz Department of Materials Science and Engineering and Department of Chemistry Johns Hopkins University 3400 North Charles Street Baltimore MD 21218 USA Contribution: Conceptualization (equal) Investigation (lead) Methodology (lead) Writing - original draft (lead) Materials Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA Contribution: Formal analysis (supporting) Methodology (supporting) Department of Mechanical and Aerospace Engineering University of Virginia Charlottesville VA 22904 USA Contribution: Formal analysis (supporting) Methodology (supporting) Writing - original draft (supporting) Department of Chemical and Biomolecular Engineering Johns Hopkins University 3400 North Charles Street Baltimore MD 21218 USA Contribution: Formal analysis (supporting) Investigation (supporting) Writing - original draft (supporting) Contribution: Investigation (supporting) Methodology (supporting) Department of Electrical and Computer Engineering Johns Hopkins University 3400 North Charles Street Baltimore MD 21218 USA Contribution: Formal analysis (supporting) Funding acquisition (supporting) Investigation (supporting) Methodology (equal) Project administration (supporting) Supervision (equal) Writing - review & editing (supporting) Contribution: Formal analysis (supporting) Supervision (supporting) Department of Materials Science and Engineering University of Virginia Charlottesville VA 22904 USA Department of Physics University of Virginia Charlottesville VA 22904 USA Contribution: Conceptualization (supporting) Methodology (equal) Supervision (supporting) Writing - review & editing (supporting) Contribution: Formal analysis (supporting) Methodology (supporting) Supervision (supporting) Contribution: Investigation (supporting) Methodology (supporting) Supervision (supporting)

N-Type thermoelectrics typically consist of small molecule dopant+polymer host. Only a few polymer dopant+polymer host systems have been reported, and these have lower thermoelectric parameters. N-type polymers with high crystallinity and order are generally used for high-conductivity ( ) organic conductors. Few n-type polymers with only short-range lamellar stacking for high-conductivity materials have been reported. Here, we describe an n-type short-range lamellar-stacked all-polymer thermoelectric system with highest of 78 S −1 , power factor ( PF ) of 163 μW m −1 K −2 , and maximum Figure of merit ( ZT ) of 0.53 at room temperature with a dopant/host ratio of 75 wt%. The minor effect of polymer dopant on the molecular arrangement of conjugated polymer PDPIN at high ratios, high doping capability, high Seebeck coefficient ( S ) absolute values relative to , and atypical decreased thermal conductivity ( ) with increased doping ratio contribute to the promising performance.

关键词： All-Polymer Thermoelectrics Electrical Conductivity Power Factor Semiconducting Polymer ZT

2022 Review of Data-Driven Plasma science

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arXiv 2022年

作者： Anirudh, Rushil Archibald, Rick Asif, M. Salman Becker, Markus M. Benkadda, Sadruddin Bremer, Peer-Timo Budé, Rick H.S. Chang, C.S. Chen, Lei Churchill, R.M. Citrin, Jonathan Gaffney, Jim A. Gainaru, Ana Gekelman, Walter Gibbs, Tom Hamaguchi, Satoshi Hill, Christian Humbird, Kelli Jalas, Sören Kawaguchi, Satoru Kim, Gon-Ho Kirchen, Manuel Klasky, Scott Kline, John L. Krushelnick, Karl Kustowski, Bogdan Lapenta, Giovanni Li, Wenting Ma, Tammy Mason, Nigel J. Mesbah, Ali Michoski, Craig Munson, Todd Murakami, Izumi Najm, Habib N. Erik J. Olofsson, K. Park, Seolhye Peterson, J. Luc Probst, Michael Pugmire, David Sammuli, Brian Sawlani, Kapil Scheinker, Alexander Schissel, David P. Shalloo, Rob J. Shinagawa, Jun Seong, Jaegu Spears, Brian K. Tennyson, Jonathan Thiagarajan, Jayaraman Ticoş, Catalin M. Trieschmann, Jan van Dijk, Jan Van Essen, Brian Ventzek, Peter Wang, Haimin Wang, Jason T.L. Wang, Zhehui Wende, Kristian Xu, Xueqiao Yamada, Hiroshi Yokoyama, Tatsuya Zhang, Xinhua Lawrence Livermore National Laboratory LivermoreCA94550 United States Oak Ridge National Laboratory Oak RidgeTN37830 United States University of California Riverside RiversideCA92521 United States Felix-Hausdorff-Str. 2 Greifswald17489 Germany Aix Marseille University CNRS PIIM UMR 7345 Marseille France Department of Applied Physics Eindhoven University of Technology Netherlands Princeton Plasma Physics Laboratory Princeton NJ08540 United States Institute of Ion Physics and Applied Physics University of Innsbruck Technikerstrasse 25 Innsbruck6020 Austria DIFFER - Dutch Institute for Fundamental Energy Research Eindhoven Netherlands Science and Technology of Nuclear Fusion Group Eindhoven University of Technology Eindhoven Netherlands Department of Physics and Astronomy University of California Los AngelesCA90095 United States NVIDIA 2788 San Tomas Expressway Santa ClaraCA95051 United States Center for Atomic and Molecular Technologies Graduate School of Engineering Osaka University 2-1 Yamadaoka Suita Osaka Japan Department of Nuclear Sciences and Applications International Atomic Energy Agency Wagramer Strasse 5 PO Box 100 Vienna1400 Austria Center for Free-Electron Laser Science Department of Physics Universität Hamburg Luruper Chaussee 149 Hamburg22761 Germany Division of Information and Electronic Engineering Graduate School of Engineering Muroran Institute of Technology Hokkaido Muroran050-8585 Japan Seoul National University Seoul151-741 Korea Republic of Deutsches Elektronen-Synchrotron DESY Notkestr. 85 Hamburg22607 Germany Los Alamos National Laboratory Los AlamosNM87545 United States Center for Ultrafast Optical Science University of Michigan Ann ArborMI48109-2099 United States Department of Mathematics KULeuven University of Leuven Belgium Department of Physical Sciences The University of Kent CanterburyCT2 7NH United Kingdom Department of Chemical and Biomolecular Engineering University of California Berk

Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS). A large amount of data and machine learning algorithms go hand in hand. Most plasma data, whether experimental, observational or computational, are generated or collected by machines today. It is now becoming impractical for humans to analyze all the data manually. Therefore, it is imperative to train machines to analyze and interpret (eventually) such data as intelligently as humans but far more efficiently in quantity. Despite the recent impressive progress in applications of data science to plasma science and technology, the emerging field of DDPS is still in its infancy. Fueled by some of the most challenging problems such as fusion energy, plasma-processing of materials, and fundamental understanding of the universe through observable plasma phenomena, it is expected that DDPS continues to benefit significantly from the interdisciplinary marriage between plasma science and data science into the foreseeable future. Copyright © 2022, The Authors. All rights reserved.

关键词： Machine learning

A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging

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arXiv 2019年

作者： Falahkheirkhah, Kianoush Kevin, Y.E.H. Mittal, Shachi Pfister, Luke Bhargava, Rohit Department of Chemical and Biomolecular Engineering University of Illinois at Urbana- Champaign UrbanaIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Bioengineering University of Illinois at Urbana- Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering University of Illinois at Urbana- Champaign UrbanaIL61801 United States Mechanical Science and Engineering University of Illinois at Urbana- Champaign UrbanaIL61801 United States Cancer Center at Illinois University of Illinois at Urbana- Champaign UrbanaIL61801 United States

Infrared (IR) microscopes measure spectral information that quantifies molecular content to assign the identity of biomedical cells but lack the spatial quality of optical microscopy to appreciate morphologic features. Here, we propose a method to utilize the semantic information of cellular identity from IR imaging with the morphologic detail of pathology images in a deep learning-based approach to image super-resolution. Using Generative Adversarial Networks (GANs), we enhance the spatial detail in IR imaging beyond the diffraction limit while retaining their spectral contrast. This technique can be rapidly integrated with modern IR microscopes to provide a framework useful for routine pathology. Copyright © 2019, The Authors. All rights reserved.

关键词： Infrared imaging

Deep learning accelerated gold nanocluster synthesis

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arXiv 2018年

作者： Li, Jiali Chen, Tiankai Lim, Kaizhuo Chen, Lingtong Khan, Saif A. Xie, Jianping Wang, Xiaonan Department of Chemical and Biomolecular Engineering National University of Singapore 4 Engineering Drive 4 Singapore117585 Singapore Department of Computer Science University of Southern California 941 Bloom Walk Los AngelesCA90089 United States

The understanding of inorganic reactions, especially those far from the equilibrium state, is relatively limited due to their inherent complexity. Poor understandings on the underlying synthetic chemistry have constrained the design of efficient synthesis routes towards desired final products, especially those inorganic materials at atomic precision. In this work, using the synthesis of atomically precise gold nanoclusters as a demonstration platform, we have successfully developed a deep learning framework for guiding material synthesis and accelerating the whole workflow. With only 54 examples, the proposed Graph Convolutional Neural Networks (GCNN) plus Siamese Neural Networks (SNN) classification model with the basic descriptors have been trained. The capability of predicting the target synthesis results has been demonstrated with a successful experimental validation. In addition, understandings in the synthesis process can be acquired from a decision tree trained by a large amount of generated data from the well-trained classification model. This study not only provides a data-driven method accelerating gold nanocluster synthesis, but also sheds light on understanding complex inorganic materials synthesis with low data amount. Copyright © 2018, The Authors. All rights reserved.

关键词： Deep learning

Magnetostriction, Soft Magnetism, and Microwave Properties in Co−Fe−C Alloy Films

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Physical Review Applied 2019年第3期12卷 034011-034011页

作者： Jiawei Wang Cunzheng Dong Yuyi Wei Xianqing Lin Benson Athey Yunpeng Chen Andrew Winter Gregory M. Stephen Don Heiman Yifan He Huaihao Chen Xianfeng Liang Chengju Yu Yujia Zhang Elizabeth J. Podlaha-Murphy Mingmin Zhu Xinjun Wang Jun Ni Michael McConney John Jones Michael Page Krishnamurthy Mahalingam Nian X. Sun College of Science Zhejiang University of Technology Hangzhou 310023 China Department of Electrical and Computer Engineering Northeastern University Boston Massachusetts 02115 USA Air Force Research Laboratory Wright-Patterson AFB Ohio 45433 USA Winchester Technologies LLC Burlington Massachusetts 01803 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA Department of Chemical and Biomolecular Engineering Clarkson University Potsdam New York 13699 USA Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province College of Information Engineering China Jiliang University Hangzhou 310018 China State Key Laboratory of Low-Dimensional Quantum Physics and Collaborative Innovation Center of Quantum Matter Department of Physics Tsinghua University Beijing 100084 China

In the past decades, ferromagnet-metalloid alloy films of Co−Fe−B have been widely used in alternative magnetic devices due to their excellent performance, such as easy industrial-scale fabrication, considerable ability for tunneling magnetoresistance and perpendicular magnetic anisotropy. However, the insufficient thermal tolerance and interfacial state densities in the typical Co−Fe−B/MgO system limits the devices’ optimization. Because of the improvement in thermal stability and interfacial properties by carbon element replacement, alternative theoretical and experimental work on Co−Fe−C alloy film properties have been reported. Here, we report on the magnetostrictive behavior, soft magnetism, and microwave properties of a series of (Co0.5Fe0.5)xC1−x films grown on silicon (001) substrates. The addition of carbon changes the Co−Fe−C films from nanocrystalline body-centered-cubic to an amorphous phase and leads to a high saturated magnetostriction constant of 75 ppm, high piezomagnetic coefficient of 10.3 ppm/Oe, excellent magnetic softness with a low coercivity less than 2 Oe, narrow ferromagnetic resonance line width of 25 Oe at the X band, extremely low Gilbert damping of 0.002, and up to 500 °C thermal stability. The large saturated magnetostriction constant and piezomagnetic coefficient result from the coexistence of nanocrystalline body-centered-cubic and amorphous phases. The extremely low Gilbert damping is related to the minimized density of states around the Fermi energy of the alloys induced by carbon doping. The combination of these properties makes Co−Fe−C films promising candidates to be widely used in voltage-tunable magnetoelectric devices and microwave magnetic devices.

关键词： Crystal structure Magnetic anisotropy Magnetostriction Devices Ferromagnets Transition metal alloys Ultrathin films Microwave techniques

Reply to Paraskevaidi et al.: Epithelial and microenvironment characterization is key to understanding and improving diagnoses

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Proceedings of the National Academy of sciences of the United States of America 2019年第11期116卷 4753-4754页

作者： Kevin Yeh Shachi Mittal Rohit Bhargava Department of Bioengineering University of Illinois at Urbana-Champaign Urbana IL 61801. Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign Urbana IL 61801. Department of Bioengineering University of Illinois at Urbana-Champaign Urbana IL 61801 rxb@illinois.edu. Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801. Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Urbana IL 61801. Department of Chemical and Biomolecular Engineering University of Illinois at Urbana-Champaign Urbana IL 61801. Department of Chemistry University of Illinois at Urbana-Champaign Urbana IL 61801. Cancer Center at Illinois University of Illinois at Urbana-Champaign Urbana IL 61801.

Comparative studies of optoelectrical properties of prominent PV materials: Halide Perovskite, CdTe, and GaAs

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arXiv 2019年

作者： Zhang, Fan Castaneda, Jose F. Chen, Shangshang Wu, Wuqiang DiNezza, Michael J. Lassise, Maxwell Nie, Wanyi Mohite, Aditya Liu, Yucheng Liu, Shengzhong Friedman, Daniel Liu, Henan Chen, Qiong Zhang, Yong-Hang Huang, Jinsong Zhang, Yong Department of Electrical and Computer Engineering University of North Carolina at Charlotte CharlotteNC28223 United States Department of Applied Physical Sciences University of North Carolina at Chapel Hill Chapel HillNC27599 United States School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Materials Physics and Application Division Los Alamos National Laboratory Los AlamosNM87545 United States Department of Chemical and Biomolecular Engineering Department of Material Science and Nanoengineering Rice University HoustonTX77005 United States Key Laboratory of Applied Surface and Colloid Chemistry National Ministry of Education Institute for Advanced Energy Materials School of Materials Science and Engineering Shaanxi Normal University Xi'an710062 China National Renewable Energy Laboratory GoldenCO80401 United States

We compare three representative high performance PV materials: halide perovskite MAPbI3, CdTe, and GaAs, in terms of photoluminescence (PL) efficiency, PL lineshape, carrier diffusion, and surface recombination, over multiple orders of photo-excitation density. An analytic model is used to describe the excitation density dependence of PL intensity and extract the internal PL efficiency and multiple pertinent recombination parameters. A PL imaging technique is used to obtain carrier diffusion length without using a PL quencher, thus, free of unintended influence beyond pure diffusion. Our results show that perovskite samples tend to exhibit lower Shockley-Read-Hall (SRH) recombination rate in both bulk and surface, thus higher PL efficiency than the inorganic counterparts, particularly under low excitation density, even with no or preliminary surface passivation. PL lineshape and diffusion analysis indicate that there is considerable structural disordering in the perovskite materials, and thus photo-generated carriers are not in global thermal equilibrium, which in turn suppresses the nonradiative recombination. This study suggests that relatively low point-defect density, less detrimental surface recombination, and moderate structural disordering contribute to the high PV efficiency in the perovskite. This comparative photovoltaics study provides more insights into the fundamental material science and the search for optimal device designs by learning from different technologies. Copyright © 2019, The Authors. All rights reserved.

关键词： Perovskite

Graphene induced large shift of surface plasmon resonances of gold films: Effective medium theory for atomically thin materials

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arXiv 2019年

作者： Alam, Md Kamrul Niu, Chao Wang, Yanan Wang, Wei Li, Yang Dai, Chong Tong, Tian Shan, Xiaonan Charlson, Earl Pei, Steven Kong, Xiang-Tian Hu, Yandi Belyanin, Alexey Stein, Gila Liu, Zhaoping Hu, Jonathan Wang, Zhiming Bao, Jiming Materials Science and Engineering University of Houston HoustonTX77204 United States Department of Electrical & Computer Engineering Baylor University WacoTX76798 United States Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu Sichuan610054 China Department of Electrical and Computer Engineering University of Houston HoustonTX77204 United States Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo Zhejiang315201 China Key Laboratory of Graphene Technologies and Applications of Zhejiang Province Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo Zhejiang315201 China Department of Civil and Environmental Engineering University of Houston Houston TX77204 United States Department of Physics & Astronomy Texas A&M University College StationTX77843 United States Chemical and Biomolecular Engineering University of Tennessee KnoxvilleTN37996 United States State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Chengdu Sichuan610054 China

Despite successful modeling of graphene as a 0.34-nm thick optical film synthesized by exfoliation or chemical vapor deposition (CVD), graphene induced shift of surface plasmon resonance (SPR) of gold films has remained controversial. Here we report the resolution of this controversy by developing a clean CVD graphene transfer method and extending Maxwell-Garnet effective medium theory (EMT) to 2D materials. A SPR shift of 0.24ºis obtained and it agrees well with 2D EMT in which wrinkled graphene is treated as a 3-nm graphene/air layered composite, in agreement with the average roughness measured by atomic force microscope. Because the anisotropic built-in boundary condition of 2D EMT is compatible with graphene’s optical anisotropy, graphene can be modelled as a film thicker than 0.34-nm without changing its optical property;however, its actual roughness, i.e., effective thickness will significantly alter its response to strong out-of-plane fields, leading to a larger SPR shift. Copyright © 2019, The Authors. All rights reserved.

关键词： Surface plasmon resonance

Self-Propelled Magnetic Dendrite-Shaped Microrobots for Photodynamic Prostate Cancer Therapy

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Angewandte Chemie 2022年第48期134卷

作者： Xia Peng Mario Urso Jan Balvan Michal Masarik Martin Pumera Future Energy and Innovation Laboratory Central European Institute of Technology Brno University of Technology Purkynova 123 61200 Brno Czech Republic Contribution: Data curation (lead) Department of Physiology Faculty of Medicine Masaryk University Kamenice 5 62500 Brno Czech Republic Department of Pathological Physiology Faculty of Medicine Masaryk University Kamenice 5 62500 Brno Czech Republic BIOCEV First Faculty of Medicine Charles University Prumyslova 595 25250 Vestec Czech Republic Department of Chemistry and Biochemistry Mendel University Zemedelska 1 61300 Brno Czech Republic Department of Medical Research China Medical University Hospital China Medical University No. 91 Hsueh-Shih Road 40402 Taichung Taiwan Faculty of Electrical Engineering and Computer Science VSB Technical University of Ostrava 17. listopadu 2172/15 70800 Ostrava Czech Republic Department of Chemical and Biomolecular Engineering Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul 03722 Korea

Photocatalytic micromotors that exhibit wireless and controllable motion by light have been extensively explored for cancer treatment by photodynamic therapy (PDT). However, overexpressed glutathione (GSH) in the tumor microenvironment can down-regulate the reactive oxygen species (ROS) level for cancer therapy. Herein, we present dendrite-shaped light-powered hematite microrobots as an effective GSH depletion agent for PDT of prostate cancer cells. These hematite microrobots can display negative phototactic motion under light irradiation and flexible actuation in a defined path controlled by an external magnetic field. Non-contact transportation of micro-sized cells can be achieved by manipulating the microrobot's motion. In addition, the biocompatible microrobots induce GSH depletion and greatly enhance PDT performance. The proposed dendrite-shaped hematite microrobots contribute to developing dual light/magnetic field-powered micromachines for the biomedical field.

关键词： Cargo Transportation Micromachines Micromotors Photocatalysis Tumor Cells