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Journal of Vacuum science and Technology A: Vacuum, Surfaces and Films 2024年第5期42卷

作者： Kuo, Chi-Yuan Lin, Wei-Chen Lo, Tsung-Tien Shen, Ching-Hsuan Shen, Ming-Yu Lee, Chia-Chan Lin, Chi-Ping Lin, Yuang-Ming Huang, Haw-Tyng Yeh, Po-Chun Chen, Hsin-Chu Wu, Chih-I Graduate Institute of Photonics and Optoelectronic Department of Electrical Engineering National Taiwan University Taipei106 Taiwan Program of Quantum Technology and Advanced Material College of Science National Tsing Hua University Hsinchu300 Taiwan Institute of Innovative Semiconductor Manufacturing National Sun Yat-sen University Kaohsiung804 Taiwan Institute of Advanced Semiconductor Packaging and Testing National Sun Yat-sen University Kaohsiung804 Taiwan Department of Materials Science and Engineering National Taiwan University Taipei106 Taiwan Electronic and Optoelectronic System Research Laboratories Industrial Technology Research Institute Hsinchu300 Taiwan

The objective of this study is to develop an efficient process to synthesize wafer scale p-type cuprous oxide (Cu2O) with the back-end-of-line (BEOL) compatible process (2/Si substrates followed by rapid thermal oxidation to oxidize it into large-area, uniform Cu2O. Bottom-gate Cu2O thin-film transistors (TFTs) were fabricated as gate dielectric on 100 nm thermal oxide. The results of the ID-VG curve demonstrate that we have successfully fabricated BEOL-compatible p-type Cu2O TFTs. The drain-off current can be achieved to 0.1 pA, with the highest on/off ratio reaching up to 6 orders. Significantly, the TFT with an on/off ratio of 106 is sufficient to meet the requirements for digital circuit applications, including logic circuits, and the BEOL-compatible process (2O TFTs. © 2024 Author(s).

关键词： Thin film transistors

The effect of granular palm shell activated carbon to reduce CO, HC, and noise on motorcycle Emissions

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AIP Conference Proceedings 2024年第1期3074卷

作者： Maria Roosa Srah Darmanijati Pranoto Ari Handono Ramelan Inayati Doctoral Program of Environmental Science Department Post Graduate School of Sebelas Maret University Surakarta Indonesia Chemistry Department Mathematic and Natural Science FacultySebelas Maret University Surakarta Indonesia Chemical Engineering Department Chemistry Engineering Sebelas Maret University Surakarta Indonesia

The use of motorcycles increased rapidly. Data from Yogyakarta Central Bureau Statistics showed from 2015 to 2019 the number of motorized vehicles increased by 8% every year. Motor vehicle air pollution comes from exhaust gases resulting from combustion. Becak Motorcycles are widely used in Yogyakarta and are usually used motorcycles with a long life. Hydrocarbons (HC) or unburned fuel and carbon monoxide (CO), were air-fuel control. This research was studied to determine the ability of palm shell activated charcoal to reduce CO, HC and noise. The 14 meshes sample diameter placed inside the tube from 24 meshes of stainless steels were prepared. The weight of activated charcoal of 10 grams, 20 grams and 30 grams were tried to reduce the In the exhaust of a 1984 Suzuki motorcycle with plate number AB 4194 CK, an exhaust extension was installed, then palm activated carbon was placed inside and the emission gases were measured. Stages 898 was used to test the emission. The smallest size could adsorb the largest emissions and noise. The weight of activated charcoal of 10 grams, 20 grams and 30 grams 14 meshes could reduce CO, HC and noise emission were 0.294 % to 0.616 %, 454 ppm to 798 ppm, -o.63 dB to 1.6 dB, respectively. The weight of activated charcoal of 10 grams, 20 grams and 30 grams 14 meshes saturated time were 270 seconds, 173 seconds and 299 seconds, respectively.

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Injectable cross-linked hyaluronic acid hydrogels with epigallocatechin gallate loading as vitreous substitutes

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International Journal of Biological Macromolecules 2024年第Part1期275卷 133467页

作者： Chen, Huai-An Tai, Yi-Ning Hsieh, Erh-Hsuan Thacker, Minal Lin, I-Chan Tseng, Ching-Li Lin, Feng-Huei Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Shuang-Ho Campus New Taipei City Taiwan Institute of Biomedical Engineering College of Medicine & College of Engineering National Taiwan University Taipei City Taiwan 17W Hong Kong Science Park Hong Kong Department of Ophthalmology Wan Fang Hospital Taipei Medical University Taipei City Taiwan Department of Ophthalmology School of Medicine College of Medicine Taipei Medical University Taipei City Taiwan International Ph. D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Shuang-Ho Campus New Taipei City Taiwan Research Center of Biomedical Device College of Biomedical Engineering Taipei Medical University Taipei City Taiwan International Ph. D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei City Taiwan National Health Research Institutes Miaoli County Taiwan

Hyaluronic acid (HA) serves as a vitreous substitute owing to its ability to mimic the physical functions of native vitreous humor. However, pure HA hydrogels alone do not provide sufficient protection against potential inflammatory risks following vitrectomy. In this study, HA was crosslinked with 1,4-butanediol diglycidyl ether (BDDE) to form HA hydrogels (HB). Subsequently, the anti-inflammatory agent epigallocatechin gallate (EGCG) was added to the hydrogel (HBE) for ophthalmic applications as a vitreous substitute. The characterization results indicated the successful preparation of HB with transparency, refractive index, and osmolality similar to those of native vitreous humor, and with good injectability. The anti-inflammatory ability of HBE was also confirmed by the reduced expression of inflammatory genes in retinal pigment epithelial cells treated with HBE compared with those treated with HB. In a New Zealand white rabbit model undergoing vitreous substitution treatment, HBE 50 (EGCG 50 μM addition) exhibited positive results at 28 days post-surgery. These outcomes included restored intraocular pressure, improved electroretinogram responses, minimal increase in corneal thickness, and no inflammation during histological examination. This study demonstrated the potential of an injectable HA-BDDE cross-linked hydrogel containing EGCG as a vitreous substitute for vitrectomy applications, offering prolonged degradation time and anti-inflammatory effects postoperatively. © 2024 The Authors

关键词： Hyaluronic acid

High‑Performance Thick Cathode Based on Polyhydroxyalkanoate Binder for Li Metal Batteries

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Advanced Fiber materials 2024年第1期6卷 214-228页

作者： Dong Hyuk Kang Minhyuck Park Jeonghun Lee Chan Yeol Kim Jimin Park Youn‑Ki Lee Jong Chan Hyun Son Ha Jin Hwan Kwak Juhee Yoon Hyemin Kim Hyun Soo Kim Do Hyun Kim Sangmin Kim Ji Yong Park Robin Jang Seung Jae Yang Hee‑Dae Lim Se Youn Cho Hyoung‑Joon Jin Seungjin Lee Yunil Hwang Young Soo Yun KU‑KIST Graduate School of Converging Science and Technology Korea University145 Anam‑roSeongbuk‑guSeoul 02841South Korea Carbon Composite Materials Research Center Korea Institute of Science and Technology(KIST)92 Chundong‑roBongdong‑eupWanju‑gunJeollabuk‑do 55324South Korea Energy Storage Research Center Korea Institute of Science and Technology(KIST)514‑gil Hwaraong‑roSeoul 02792South Korea Program in Environmental and Polymer Engineering Inha University100 Inha‑ro Michuhol‑guIncheon 22212South Korea Advanced Analysis Data Center Korea Institute of Science and Technology(KIST)514‑gil Hwaraong‑roSeoul 02792South Korea Advanced Nanohybrids Laboratory Department of Chemistry and Chemical EngineeringInha University100 Inha‑roMichuhol‑guIncheon 22212South Korea CJ CheilJedang Corporation 55 Gwanggyo‑ro 42Beon‑gilYeongtong‑guSuwon 16495South Korea Department of Chemical Engineering Hanyang University222 Wangsimni‑roSeongdong‑guSeoul 04763South Korea Department of Integrative Energy Engineering Korea University145 Anam‑roSeongbuk‑guSeoul 02841South Korea

Thick cathodes can overcome the low capacity issues,which mostly hamper the performance of the conventional active cathode materials,used in rechargeable Li ***,the typical slurry-based method induces cracking and flaking during the fabrication of thick *** addition,a significant increase in the charge-transfer resistance and local cur-rent overload results in poor rate capabilities and cycling stabilities,thereby limiting electrode *** this study,a synergistic dual-network combination strategy based on a conductive nanofibrillar network(CNN)and a nano-bridging amor-phous polyhydroxyalkanoate(aPHA)binder is used to demonstrate the feasibility of constructing a high-performance thick *** CNN and aPHA dual network facilitates the fabrication of a thick cathode(≥250μm thickness and≥90 wt%active cathode material)by a mass-producible slurry *** thick cathode exhibited a high rate capability and excel-lent cycling *** addition,the thick cathode and thin Li metal anode pair(Li//t-NCM)exhibited an optimal energy performance,affording high-performance Li metal batteries with a high areal energy of~25.3 mW h cm^(-2),a high volumetric power density of~1720 W L^(-1),and an outstanding specific energy of~470 W h kg^(-1)at only 6 mA h cm^(-2).

关键词： Thick cathode Polyhydroxyalkanoate binder Nano-bridging Conductive nano-fibrillar network Lithium metal battery

Manipulating Fano coupling in an opto-thermoelectric field

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arXiv 2024年

作者： Lin, Linhan Lepeshov, Sergey Krasnok, Alex Huang, Yu Jiang, Taizhi Peng, Xiaolei Korgel, Brian A. Alu, Andrea Zheng, Yuebing State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University Beijing100084 China Department of Electrical and Photonics Engineering DTU Electro Technical University of Denmark Building 343 Kgs. LyngbyDK-2800 Denmark Department of Electrical and Computer Engineering Florida International University MiamiFL33174 United States School of Physics and Electronics Hunan University Changsha410082 China Mc Ketta Department of Chemical Engineering The University of Texas at Austin AustinTX78712 United States Materials Science & Engineering Program Texas Materials Institute The University of Texas at Austin AustinTX78712 United States Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York NY10016 United States Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX78712 United States

Fano resonances in photonics arise from the coupling and interference between two resonant modes in structures with broken symmetry. They feature an uneven and narrow and tunable lineshape, and are ideally suited for optical spectroscopy. Many Fano resonance structures have been suggested in nanophotonics over the last ten years, but reconfigurability and tailored design remain challenging. Herein, we propose an all-optical "pick-and-place" approach aimed at assemble Fano metamolecules of various geometries and compositions in a reconfigurable manner. We study their coupling behavior by in-situ dark-field scattering spectroscopy. Driven by a light-directed opto-thermoelectric field, silicon nanoparticles with high quality-factor Mie resonances (discrete states) and low-loss BaTiO3 nanoparticles (continuum states) are assembled into all-dielectric heterodimers, where distinct Fano resonances are observed. The Fano parameter can be adjusted by changing the resonant frequency of the discrete states or the light polarization. We also show tunable coupling strength and multiple Fano resonances by altering the number of continuum states and discrete states in dielectric heterooligomers. Our work offers a general design rule for Fano resonance and an all-optical platform for controlling Fano coupling on demand. Copyright © 2024, The Authors. All rights reserved.

关键词： Light polarization

Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention

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arXiv 2021年

作者： Kim, Hyunseung Na, Jonggeol Lee, Won Bo School of Chemical and Biological Engineering Seoul National University Gwanak-ro 1 Gwanak-gu Seoul08826 Korea Republic of Department of Chemical Engineering and Materials Science Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of

Discovering new materials better suited to specific purposes is an important issue in improving the quality of human life. Here, a neural network that creates molecules that meet some desired conditions based on a deep understanding of chemical language is proposed (Generative Chemical Transformer, GCT). The attention mechanism in GCT allows a deeper understanding of molecular structures beyond the limitations of chemical language itself which cause semantic discontinuity by paying attention to characters sparsely. It is investigated that the significance of language models for inverse molecular design problems by quantitatively evaluating the quality of the generated molecules. GCT generates highly realistic chemical strings that satisfy both chemical and linguistic grammar rules. Molecules parsed from generated strings simultaneously satisfy the multiple target properties and vary for a single condition set. These advances will contribute to improving the quality of human life by accelerating the process of desired material discovery. Copyright © 2021, The Authors. All rights reserved.

关键词： Molecules

Deformed Fredkin model for the ν=5/2 Moore-Read state on thin cylinders

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Physical Review Research 2024年第1期6卷 013105-013105页

作者： Cristian Voinea Songyang Pu Ammar Kirmani Pouyan Ghaemi Armin Rahmani Zlatko Papić School of Physics and Astronomy University of Leeds Leeds LS2 9JT United Kingdom Theoretical Division T-4 Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Physics Department City College of the City University of New York New York 10031 USA Physics Program Graduate Center of City University of New York New York 10031 USA Department of Physics and Astronomy and Advanced Materials Science and Engineering Center Western Washington University Bellingham Washington 98225 USA

We propose a frustration-free model for the Moore-Read quantum Hall state on sufficiently thin cylinders with circumferences ≲7 magnetic lengths. While the Moore-Read Hamiltonian involves complicated long-range interactions between triplets of electrons in a Landau level, our effective model is a simpler one-dimensional chain of qubits with deformed Fredkin gates. We show that the ground state of the Fredkin model has high overlap with the Moore-Read wave function and accurately reproduces the latter's entanglement properties. Moreover, we demonstrate that the model captures the dynamical response of the Moore-Read state to a geometric quench, induced by suddenly changing the anisotropy of the system. We elucidate the underlying mechanism of the quench dynamics and show that it coincides with the linearized bimetric field theory. The minimal model introduced here can be directly implemented as a first step towards quantum simulation of the Moore-Read state, as we demonstrate by deriving an efficient circuit approximation to the ground state and implementing it on an IBM quantum processor.

关键词： Fractional quantum Hall effect Quantum computation Quantum many-body systems Strongly correlated systems Exact diagonalization Matrix product states

Empowering research in chemistry and materials science through intelligent algorithms

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Artificial Intelligence Chemistry

Artificial Intelligence Chemistry 2024年第1期2卷

作者： Jinglong Lin Fanyang Mo School of Materials Science and Engineering Peking University Beijing 100871 PR China AI for Science (AI4S)-Preferred Program Peking University Shenzhen Graduate School Shenzhen 518055 PR China

In this review, we explore the integration of intelligent algorithms in chemistry and materials *** begin by delineating the core principles of Machine Learning, Deep Learning, and optimization algorithms, highlighting their bespoke adaptation to these scientific domains. The focus then shifts to the critical processes of data management, including collection, refinement, and feature engineering, alongside strategies for efficient data mining from targeted databases and literatures. Subsequently, we present a concise overview of the diverse applications of these algorithms, emphasizing their transformative impact in both fields. Finally, this review explores the future prospects and challenges of these emerging algorithms.

关键词： Intelligent Algorithms Machine Learning Deep Learning

Exotic magnetism in perovskite KOsO3

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arXiv 2024年

作者： Chen, Jie Li, Hongze Gainza, Javier Munoz, Angel Alonso, Jose A. Liu, Jue Chen, Yu-Sheng Belik, Alexei A. Yamaura, Kazunari He, Jiaming Li, Xinyu Goodenough, John B. Zhou, J.-S. Materials Science and Engineering Program University of Texas at Austin AustinTX78712 United States Instituto de Ciencia de Materiales de Madrid CSIC Cantoblanco MadridE-28049 Spain Universidad Carlos III Avenida Universidad 30 Leganés-MadridE-28911 Spain Neutron Scattering Division Oak Ridge National Laboratory Oak RidgeTN37830 United States NSF’s ChemMatCARS The University of Chicago IL60437 United States National Institute for Materials Science Namiki 1-1 Ibaraki Tsukuba305-0044 Japan Graduate School of Chemical Sciences and Engineering Hokkaido University North 10 West 8 Kita-ku Hokkaido Sapporo060-0810 Japan

A new perovskite KOsO3 has been stabilized under high-pressure and high temperature conditions. It is cubic at 500 K (Pm-3m) and undergoes subsequent phase transitions to tetragonal at 320 K (P4/mmm) and rhombohedral (R-3m) at 230 K as shown from refining synchrotron X-ray powder diffraction (SXRD) data. The larger orbital overlap integral and the extended wavefunction of 5d electrons in the perovskite KOsO3 allow to explore physics from the regime where Mott and Hund’s rule couplings dominate to the state where the multiple interactions are on equal footing. We demonstrate an exotic magnetic ordering phase found by neutron powder diffraction along with physical properties via a suite of measurements including magnetic and transport properties, differential scanning calorimetry, and specific heat, which provide comprehensive information for a system at the crossover from localized to itinerant electronic behavior. Copyright © 2024, The Authors. All rights reserved.

关键词： X ray powder diffraction

Phase Stability of Hexagonal/cubic Boron Nitride Nanocomposites

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arXiv 2023年

作者： Biswas, Abhijit Xu, Rui Christiansen-Salameh, Joyce Jeong, Eugene Alvarez, Gustavo A. Li, Chenxi Puthirath, Anand B. Gao, Bin Garg, Arushi Gray, Tia Kannan, Harikishan Zhang, Xiang Elkins, Jacob Pieshkov, Tymofii S. Vajtai, Robert Glen Birdwell, A. Neupane, Mahesh R. Pate, Bradford B. Ivanov, Tony Garratt, Elias J. Dai, Pengcheng Zhu, Hanyu Tian, Zhiting Ajayan, Pulickel M. Department of Materials Science and Nanoengineering Rice University HoustonTX77005 United States Sibley School of Mechanical and Aerospace Engineering Cornell University IthacaNY14853 United States Department of Physics and Astronomy Rice University HoustonTX77005 United States Department of Materials Science and Engineering Indian Institute of Technology Kanpur Kanpur208016 India Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States DEVCOM Army Research Laboratory RF Devices and Circuits AdelphiMD20783 United States Naval Research Laboratory WashingtonDC20375 United States

Boron nitride (BN) is an exceptional material and among its polymorphs, two-dimensional (2D) hexagonal and three-dimensional (3D) cubic BN (h-BN and c-BN) phases are most common. The phase stability regimes of these BN phases are still under debate and phase transformations of h-BN/c-BN remain a topic of interest. Here, we investigate the phase stability of 2D/3D h-BN/c-BN nanocomposites and show that the co-existence of two phases can lead to strong non-linear optical properties and low thermal conductivity at room temperature. Furthermore, spark-plasma sintering of the nanocomposite shows complete phase transformation to 2D h-BN with improved crystalline quality, where 3D c-BN grain sizes governs the nucleation and growth kinetics. Our demonstration might be insightful in phase engineering of BN polymorphs based nanocomposites with desirable properties for optoelectronics and thermal energy management applications. © 2023, CC BY.

关键词： Nanocomposites