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Advances in X-Ray/EUV Optics and Components XVIII 2023

作者： Kume, T. Matsuzawa, Y. Saito, T. Hiraguri, K. Takeo, Y. Kimura, T. Kishimoto, H. Senba, Y. Ohashi, H. Mimura, H. Hashizume, H. Technology Center Natsume Optical Corporation 1200-29 Kawaji Iida Nagano399-2431 Japan Institute for Solid State Physics The University of Tokyo Kashiwa277-8581 Japan 1-1-1 Kouto Sayo-cho Sayo-gun Hyogo679-5198 Japan Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8904 Japan Institute of Physical and Chemical Research 2-1 Hirosawa Saitama Wako351-0198 Japan

ISBN: (纸本)9781510666023

High-precision monolithic mirrors are used in the soft X-ray beamlines of synchrotron radiation facilities. A figure measurement technique is essential for the fabrication of high-precision mirrors. In recent years, mirrors of various shapes have been proposed, and a versatile figure measurement technique is required. Tactile measurements are one of the most suitable methods for evaluating the figure errors of X-ray mirrors with steep and complex geometries. Because a tactile measurement probe has a wide range of measurable depths and angles and can eliminate measurement errors depending on the sample curvature, tactile measurements have been applied to the fabrication of monolithic mirrors for soft X-ray focusing. In this study, a soft X-ray focusing mirror with concave and convex freeform surfaces on its monolithic substrate was fabricated based on tactile measurements for figure correction. The high- and mid-spatial-frequency roughness were 0.14-0.17 nm and 0.8 nm in RMS, respectively. Furthermore, the figure error evaluated using the tactile measurement was 2.64 nm in RMS. © 2023 SPIE.

关键词： Fabrication

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Prediction of Electronic parameters of Carbon Nanotube random network Field-effect Transistors under liquid gated conditions using a machine learning approach

Prediction of Electronic parameters of Carbon Nanotube rando...

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2022 IEEE International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience and Nanotechnology, 5NANO 2022

作者： Murugathas, Thanihaichelvan Veena, R. Plank, Natalie O.V. Keerththinaathan, Pirunthan Petra, I. Mohandas, Prabu University of Jaffna Faculty of Science Department of Physics Jaffna40000 Sri Lanka Universiti Brunei Darussalam Faculty of Integrated Technologies BE1410 Brunei Victoria University of Wellington School of Chemical and Physical Sciences Wellington6021 New Zealand University of Jaffna Faculty of Technology Department of Electrical Technology Kilinochchi40000 Sri Lanka National Institute of Technology Calicut Intelligent Computing Lab Department of Computer Science and Engineering Kerala India

ISBN: (纸本)9781665437288

In this work, we employed a machine learning approach to predict the performance parameters of CNT bundle network field-effect transistors (FETs). The CNT bundle network FETs are complex system not only due to the random nature of the network but also due to the conductivity and work functions of bundles with both metallic and semiconducting tubes. It is difficult to model a whole network of CNT bundles with unknown conductivity and work function. In a recent work we examined 119 devices for investigate the role of CNT junctions in the electrical conduction and gating of CNT network FETs under liquid gated conditions. In this work we used the experimental data to train and predict the performance using the Support vector machine (SVM) technique. The CNT bundle density of the film measured by atomic force microscope images was used as the input parameter and the on-current, off-current and threshold voltage were the target. We were able to estimate the on current with an accuracy better than 90 percentage. However OFF current and threshold voltage prediction has an accuracy about 82 and 77 percent respectively. The 90-percentage accuracy for the on-current prediction can be attributed to the strong dependency of on-current with the CNT bundle density. However, the off-current and threshold voltage are depending on other parameters namely the presence of metallic CNTs within the bundles and the overall variations in the composition of network. Based on the experimental results, despite the unknown variables, we managed to predict the electronic parameters of a CNT network FETs with using the SVM techniques with significantly high accuracy. © 2022 IEEE.

关键词： Threshold voltage

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The cooperative migration dynamics of particles correlates to the nature of hexatic-isotropic phase transition in 2D systems of corner-rounded hexagons

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Fundamental Research 2024年第2期4卷 284-290页

作者： Zhanglin Hou Mingwei Liu Yiwu Zong Fangfu Ye Kun Zhao Wenzhou Institute University of Chinese Academy of SciencesWenzhouZhejiang 325001China Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin 300072China School of Physical Science University of Chinese Academy of SciencesBeijing 100049China Beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100190China Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)WenzhouZhejiang 325001China Sichuan Provincial People’s Hospital University of Electronic Science and Technology of ChinaChengduSichuan 610054China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengduSichuan 610054China

In the two-dimensional(2D)melting transition of colloidal systems,the hexatic-isotropic(H-I)transition can be either first-order or ***,how particle dynamics differs at the single-particle level during these two different melting transitions remains to be *** this work,by Brownian dynamics(BD)simulations,we have systematically studied the dynamic behavior of corner-rounded hexagons during the H-I transition,for a range of corner-roundness𝜁=0.40 to 0.99 that covers the crossover from the continuous to first-order nature of H-I *** results show that hexagons with𝜁≤0.5 display a continuous H-I transition,whereas those with𝜁≥0.6 demonstrate a first-order H-I *** analysis shows different evolution pathways of the dominant cluster formed by migrating particles,which results in a droplet-like cluster structure for𝜁=0.40 hexagons and a tree-like cluster structure for𝜁=0.99 *** investigations on the hopping activities of particles suggest a cooperative origin of migrating *** work provides a new aspect to understand the dependence of the nature of H-I transition on the roundness of hexagons through particle dynamic behavior.

关键词： Melting transition Colloids Hexatic phase Cooperative migration Hexagons

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Performance prediction of magnetorheological fluid‐based liquid gating membrane by kriging machine learning method

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Interdisciplinary Materials 2022年第1期1卷 157-169页

作者： Mengchuang Zhang Yuan Jing Jian Zhang Zhizhi Sheng Yaqi Hou Jiadai Xu Baiyi Chen Jing Liu Miao Wang Xu Hou Department of Physics Research Institute for Biomimetics and Soft MatterFujian Provincial Key Laboratory for Soft Functional Materials ResearchJiujiang Research InstituteCollege of Physical Science and TechnologyXiamen UniversityXiamenChina Institute of Artificial Intelligence Xiamen UniversityXiamenChina School of Civil Aviation Northwestern Polytechnical UniversityXi'anChina Yangtze River Delta Research Institute of Northwestern Polytechnical University Taicang CityJiangsu ProvinceChina State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical EngineeringXiamen UniversityXiamenChina Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of SciencesSuzhouChina Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) XiamenChina

Smart liquid gating membrane is a responsive structural material as a pressure-driven system that consists of solid membrane and dynamic liquid,responding to the external *** accurate prediction of rheological and mechanical properties is important for the designs of liquid gating membranes for various ***,high predicted accuracy by the traditional sequential method requires a large amount of experimental data,which is not practical in some *** conquer these problems,artificial intelligence has promoted the rapid development of material science in recent years,bringing hope to solve these *** we propose a Kriging machine learning model with an active candidate region,which can be smartly updated by an expected improvement probability method to increase the local accuracy near the most sensitive search region,to predict the mechanical and rheolo-gical performance of liquid gating system with an active minimal size of ex-perimental *** this,this new machine learning model can instruct our experiments with optimal *** methods are then verified by liquid gating membrane with magnetorheological fluids,which would be of wide interest for the design of potential liquid gating applications in drug release,microfluidic logic,dynamic fluid control,and beyond.

关键词： active candidate region techniques artificial intelligence Kriging machine learning method magnetorheological fluid-based liquid gating membrane rheological and mechanical model

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High resistance of superconducting TiN thin films against environmental attacks†

arXiv

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arXiv 2024年

作者： Guo, Zhangyuan Ge, Min Zhou, You-Qi Bi, Jiachang Zhang, Qinghua Zhang, Jiahui Ye, Jin-Tao Zhai, Rongjing Ge, Fangfang Huang, Yuan Zhang, Ruyi Yao, Xiong Huang, Liang-Feng Cao, Yanwei School of Materials Science and Chemical Engineering Ningbo University Zhejiang Ningbo315211 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China The Instruments Center for Physical Science University of Science and Technology of China Hefei230026 China Research Center for Advanced Interdisciplinary Sciences Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing100081 China

Superconductors, an essential class of functional materials, hold a vital position in both fundamental science and practical applications. However, most superconductors, including MgB2, Bi2Sr2CaCu2O8+δ, and FeSe, are highly sensitive to environmental attacks (such as water and moist air), hindering their wide applications. More importantly, the surface physical and chemical processes of most superconductors in various environments remain poorly understood. Here, we comprehensively investigate the high resistance of superconducting titanium nitride (TiN) epitaxial films against acid and alkali attacks. Unexpectedly, despite immersion in acid and alkaline solutions for over 7 days, the crystal structure and superconducting properties of TiN films remain stable, as demonstrated by high-resolution X-ray diffraction, electrical transport, atomic force microscopy, and scanning electron microscope. Furthermore, combining scanning transmission electron microscopy analysis with density functional theory calculations revealed the corrosion mechanisms: acid corrosions lead to the creation of numerous defects due to the substitution of Cl ions for N anions, whereas alkaline environments significantly reduce the film thickness through the stabilization of OH∗ adsorbates. Our results uncover the unexpected stability and durability of superconducting materials against environmental attacks, highlighting their potential for enhanced reliability and longevity in diverse applications. © 2024, CC BY.

关键词： Titanium nitride

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Elimination of Buried Interface Defects for Highly Efficient and Stable Wide-Bandgap Perovskite Solar Cells

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Chinese Journal of chemical physics 2025年第2期38卷 231-239,I0020-I0034,I0040,I0041页

作者： Kun Chen Yu Chen Yang Shen Weijian Tang Xiaojia Zheng WenHua Zhang Shangfeng Yang Sichuan Research Center of New Materials Institute of Chemical MaterialsChina Academy of Engineering PhysicsChengdu 610200China Key Laboratory of Artificial Structures and Quantum Control(Ministry of Education) Shanghai Jiao Tong UniversityShanghai 200240China Yunnan Key Laboratory of Carbon Neutrality and Green Low-carbon Technologies Yunnan UniversityKunming 650000China Hefei National Laboratory for Physical Sciences at the Microscale CAS Key Laboratory of Materials for Energy ConversionDepartment of Materials Science and EngineeringSynergetic Innovation Center of Quantum Information and Quantum PhysicsUniversity of Science and Technology of ChinaHefei 230026China

As one of the important components of high-effi-ciency perovskite/silicon series devices,wide-bandgap(WBG)perovskite solar cells(PSCs)have been suffering from serious carrier transport barriers and huge open-circuit voltage deficit de-rived from non-radiative recombination,especial-ly at the buried interface that are often ***,we combined cationic and anion passiva-tion strategies via ammonium tetra-n-butyl tetrafluoroborate(TBABF_(4))pre-treating the buried *** calculation predicts that the tetrabutylammonium(TBA^(+))organic cations and(tetrafluoroborate)BF_(4)^(−)anions can easily interact with charged interfacial *** further confirm the enhance-ment of carrier transport performance and decrease in defect density upon TBABF4 ***,a power conversion efficiency of 21.35%with an ultrahigh filling factor of 84.12%is obtained for 1.68 eV-WBG inverted *** addition,the device with TBABF4 pre-treatment demonstrates excellent shelf,thermal,and operational stability.

关键词： Wide-bandgap Buried interface Carrier transport Stablility Defect passiva-tion

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Influence of long range forces on the transition states and dynamics of NaCl ion-pair dissociation in water

arXiv

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arXiv 2021年

作者： Wang, Dedi Zhao, Renjie Weeks, John D. Tiwary, Pratyush Biophysics Program Institute for Physical Science and Technology University of Maryland College Park20742 United States Chemical Physics Program Institute for Physical Science and Technology University of Maryland College Park20742 United States Department of Chemistry and Biochemistry Institute for Physical Science and Technology University of Maryland College Park20742 United States

We study NaCl ion-pair dissociation in a dilute aqueous solution using computer simulations both for the full system with long range Coulomb interactions and for a well chosen reference system with short range intermolecular interactions. Analyzing results using concepts from Local Molecular Field (LMF) theory and the recently proposed AI-based analysis tool "State predictive information bottleneck" (SPIB) we show that the system with short range interactions can accurately reproduce the transition rate for the dissociation process, the dynamics for moving between the underlying metastable states, and the transition state ensemble. Contributions from long range interactions can be largely neglected for these processes because long range forces from the direct interionic Coulomb interactions are almost completely canceled (> 90%) by those from solvent interactions over the length scale where the transition takes place. Thus for this important monovalent ion-pair system, short range forces alone are able to capture detailed consequences of the collective solvent motion, allowing the use of physically suggestive and computationally efficient short range models for the disassociation event. We believe that the framework here should be applicable to disentangling mechanisms for more complex processes such as multivalent ion disassociation, where previous work has suggested that long range contributions may be more important. © 2021, CC BY.

关键词： Dissociation

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Oxidative Coupling of Methanol with Molecularly Adsorbed Oxygen on Au Surface to Methyl Formate

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Journal of physical Chemistry Letters 2021年第29期12卷 6941-6945页

作者： Sun, Guanghui Wang, Fang Jin, Yuekang Chen, Xuanye Chai, Peng Wu, Longxia Teng, Bo-Tao Huang, Weixin Hefei National Laboratory for Physical Sciences Microscale Key Laboratory of Surface and Interface Chemistry and Energy Catalysis Anhui Higher Education Institutes Department of Chemical Physics University of Science and Technology of China Hefei 230026 China Key Laboratory of the Ministry of Education for Advanced Catalysis Materials Institute of Physical Chemistry Zhejiang Normal University 321004 Jinhua China Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Dalian 116023 China Tianjin Key Laboratory of Brine Chemical Engineering and Resource Eco-utilization College of Chemical Engineering and Materials Science Tianjin University of Science and Technology Tianjin 300457 China

Supported Au catalysts efficiently catalyze the oxidative coupling of methanol with O2 to methyl formate, in which the atomic O species (O(a)) formed via O2 dissociation on the Au surface has been considered as the active oxygen species. Herein we report for the first time that the oxidative coupling of methanol can occur facilely with molecularly adsorbed O2 species (O2(a)) on a Au(997) surface at temperatures as low as around 125 K, while that with O(a) occurs at around 175 K. Both experimental and theoretical calculation results demonstrate a novel reaction mechanism of oxidative coupling of CH3OH with O2(a) via a dioxymethylene (H2COO) intermediate, resulting in the production of both HCOOCH3 and HCOOCH3. These results reveal the unique reactivity of molecularly adsorbed O2 species on Au surfaces for low-temperature oxidation reactions. © 2021 American chemical Society.

关键词： Desorption Alcohols Gold Oxidative coupling Annealing (metallurgy)

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Modification of NASICON Electrolyte and Its Application in Real Na-Ion Cells

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Engineering 2022年第1期8卷 170-180页

作者： Qiangqiang Zhang Quan Zhou Yaxiang Lu Yuanjun Shao Yuruo Qi Xingguo Qi Guiming Zhong Yong Yang Liquan Chen Yong-Sheng Hu Key Laboratory for Renewable Energy Beijing Key Laboratory for New Energy Materials and DevicesBeijing National Laboratory for Condensed Matter PhysicsInstitute of PhysicsChinese Academy of SciencesBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Xiamen Institute of Rare-Earth Materials Haixi InstitutesChinese Academy of SciencesXiamen 361021China State Key Laboratory of Physical Chemistry of Solid Surfaces&Department of Chemistry College of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China HiNa Battery Technology Co. Ltd.Liyang 213300China Yangtze River Delta Physics Research Center Co. Ltd.Liyang 213300China

The low ionic conductivity of solid-state electrolytes(SSEs)and the inferior interfacial reliability between SSEs and solid-state electrodes are two urgent challenges hindering the application of solid-state sodium batteries(SSSBs).Herein,sodium(Na)super ionic conductor(NASICON)-type SSEs with a nominal composition of Na_(3+2x)Zr_(2-x)MgxSi_(2)PO_(12) were synthesized using a facile two-step solid-state method,among which Na_(3.3)Zr_(1.85)Mg_(0.15)Si_(2)PO_(12)(x=0.15,NZSP-Mg_(0.15))showed the highest ionic conductivity of 3.54mS∙cm^(-1) at 25℃.By means of a thorough investigation,it was verified that the composition of the grain boundary plays a crucial role in determining the total ionic conductivity of ***,due to a lack of examination in the literature regarding whether NASICON can provide enough anodic electrochemical stability to enable high-voltage SSSBs,we first adopted a high-voltage Na_(3)(VOPO_(4))2F(NVOPF)cathode to verify its compatibility with the optimized NZSP-Mg_(0.15) *** comparing the electrochemical performance of cells with different configurations(low-voltage cathode vs high-voltage cathode,liquid electrolytes vs SSEs),along with an X-ray photoelectron spectroscopy evaluation of the after-cycled NZSP-Mg_(0.15),it was demonstrated that the NASICON SSEs are not stable enough under high voltage,suggesting the importance of investigating the interface between the NASICON SSEs and high-voltage ***,by coating NZSP-Mg_(0.15) NASICON powder onto a polyethylene(PE)separator(PE@NASICON),a 2.42 A∙h non-aqueous Na-ion cell of carbon|PE@NASICON|NaNi_(2/9)Cu_(1/9)Fe_(1/3)Mn_(1/3)O_(2) was found to deliver an excellent cycling performance with an 88%capacity retention after 2000 cycles,thereby demonstrating the high reliability of SSEs with NASICON-coated separator.

关键词： Solid-state electrolytes Solid-state sodium batteries NASICON Interface Separator Coating

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Atomically Precise Metal Nanoclusters as Single Electron Transferers for Hydroborylation

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Precision Chemistry 2023年第3期1卷 175-182页

作者： Wanli Zhu Sheng Zhang Weigang Fan Ying Yang Hongliang Zhao Wenwen Fei Hong Bi Jian He Man-Bo Li Zhikun Wu Institute of Physical Science and Information Technology Anhui UniversityHefeiAnhui 230601P.R.China Key Laboratory of Materials Physics Anhui Key Laboratory of Nanomaterials and NanotechnologyCAS Center for Excellence in NanoscienceInstitute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031P.R.China College of Materials and Chemical Engineering West Anhui UniversityLu’anAnhui 237015P.R.China School of Material Science and Engineering Anhui UniversityHefeiAnhui 230601P.R.China Department of Chemistry and State Key Laboratory of Synthetic Chemistry The University of Hong KongHong KongP.R.China

The emergence of metal nanoclusters with atomically precise compositions and structures provides an opportunity for in-depth investigation of catalysis mechanisms and structure−property correlations at the ***,a serious problem for metal nanocluster catalysts is that the ligands inhibit the catalytic activity through deactivating the surface of the ***,we introduce a novel catalytic mode for metal nanoclusters,in which the nanoclusters initiate the catalysis via single electron transfer(SET)without destroying the integrity of nanoclusters,providing a solution for the contradiction between activity and stability of metal *** illustrated that the novel activation mode featured low catalyst loading(0.01 mol%),high TOF,mild reaction conditions,and easy recycling of catalyst in alkyne hydroborylation,which often suffered from poor selectivity,low functional group tolerance,***,the catalyst[Au_(1)Cu_(14)(TBBT)_(12)(PPh_(3))_(6)]^(+)(TBBTH:p-tert-butylthiophenol)can be applied in highly efficient tandem processes such as hydroborylation−deuteration and hydroborylation−isomerization,demonstrating the utility of the introduced activation mode for metal nanoclusters.

关键词： atomically precise metal nanocluster single electron transfer hydroborylation boryl radical tandem catalysis

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