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Magnetic Topological Dirac Semimetal Transition Driven by SOC in EuMg_(2)Bi_(2)

Chinese Physics Letters 2024年第1期41卷 63-67页

作者：王佳萌钱浩吉姜琦乔山叶茂 State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Research Center for Intelligent Chips and Devices Zhejiang LabHangzhou 311121China Center for Transformative Science ShanghaiTech UniversityShanghai 201210China School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China

Magnetic topological semimetals have been at the forefront of condensed matter physics due to their ability to exhibit exotic transport *** the interplay between magnetic and topological orders in systems with broken time-reversal symmetry is crucial for realizing non-trivial quantum *** delve into the electronic structure of the rare-earth-based antiferromagnetic Dirac semimetal EuMg_(2)Bi_(2) using first-principles calculations and angle-resolved photoemission *** calculations reveal that the spin-orbit coupling(SOC)in EuMg_(2)Bi_(2) prompts an insulator to topological semimetal transition,with the Dirac bands protected by crystal *** linearly dispersive states near the Fermi level,primarily originating from Bi 6p orbitals,are observed on both the(001)and(100)surfaces,confirming that EuMg_(2)Bi_(2) is a three-dimensional topological Dirac *** research offers pivotal insights into the interplay between magnetism,SOC and topological phase transitions in spintronics applications.

关键词： spectroscopy topological Dirac

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Enriching the Transfer Learning with Pre-Trained Lexicon Embedding for Low-Resource Neural Machine Translation

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Tsinghua science and technology 2022年第1期27卷 150-163页

作者： Mieradilijiang Maimaiti Yang Liu Huanbo Luan Maosong Sun the Institute for Artificial Intelligence Beijing National Research Center for Information Science and TechnologyDepartment of Computer Science and TechnologyTsinghua UniversityBeijing 100084China the Beijing Academy of Artificial Intelligence Beijing Advanced Innovation Center for Language ResourcesBeijing 100084China

Most State-Of-The-Art(SOTA) Neural Machine Translation(NMT) systems today achieve outstanding results based only on large parallel *** large-scale parallel corpora for high-resource languages is easily ***,the translation quality of NMT for morphologically rich languages is still unsatisfactory,mainly because of the data sparsity problem encountered in Low-Resource Languages(LRLs).In the low-resource NMT paradigm,Transfer Learning(TL) has been developed into one of the most efficient *** is difficult to train the model on high-resource languages to include the information in both parent and child models,as well as the initially trained model that only contains the lexicon features and word embeddings of the parent model instead of the child languages *** this work,we aim to address this issue by proposing the language-independent Hybrid Transfer Learning(HTL) method for LRLs by sharing lexicon embedding between parent and child languages without leveraging back translation or manually injecting ***,we train the High-Resource Languages(HRLs) as the parent model with its ***,we combine the parent and child language pairs using the oversampling method to train the hybrid model initialized by the previously parent ***,we fine-tune the morphologically rich child model using a hybrid ***,we explore some exciting discoveries on the original TL *** results show that our model consistently outperforms five SOTA methods in two languages Azerbaijani(Az) and Uzbek(Uz).Meanwhile,our approach is practical and significantly better,achieving improvements of up to 4:94 and 4:84 BLEU points for low-resource child languages Az ! Zh and Uz ! Zh,respectively.

关键词： artificial intelligence natural language processing neural network machine translation low-resource languages transfer learning

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Modulating Ru–O bond covalency via Ga-doping for enhanced oxygen evolution reaction in acid

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science China Chemistry 2025年

作者： Zhongliang Liu Heng Liu Kai Zhou Miaomiao Liu Tianrui Xue Yongjun Shen Hao Li Huihui Li Chunzhong Li Key Laboratory for Ultrafine Materials of Ministry of Education School of Chemical Engineering East China University of Science and Technology Advanced Institute for Materials Research (WPI-AIMR) Tohoku University Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai Engineering Research Center of Hierarchical Nanomaterials School of Materials Science and Engineering East China University of Science and Technology

The increasing demand for green hydrogen production requires the development of advanced ruthenium （Ru）-based oxide catalysts for the anodic oxygen evolution reaction （OER）.Here,we report the development of a Ga-doped Ru O2catalyst （GaRu O2） that demonstrates enhanced OER performance attributed to modulated Ru–O bond *** fully occupied 3d orbital of Ga stabilizes its oxidation state during OER,while its atomic radius,similar to Ru,helps maintain the initial crystal lattice structure upon ***-situ characterization,kinetic analysis and theoretical calculations reveal that the weakened Ru–O bond covalency lowers the energy barriers for*OH and*OOH formation,thus contributing to an enhanced OER *** resultant Ga-Ru O2achieves a current density of 10 m A cm-2at a low overpotential of 203 m V and demonstrates durable operation for 500 h in *** work provides valuable insights into the electronic structure engineering of Ru-based catalysts for practical water electrolysis applications.

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Tuning surface reactivity towards high-performance hard carbon in Li/Na/K-ion batteries

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Journal of Energy Chemistry 2025年第4期103卷 27-36页

作者： Wang Zhou Dan Wang Ying Mo Rui Tang Peng Gao Miaomiao Han Shi Chen Keigo Wakabayashi Takeharu Yoshii Hirotomo Nishihara Jilei Liu College of Materials Science and Engineering Hunan Joint International Laboratory of Advanced Materials and Technology of Clean EnergyHunan Province Key Laboratory for Advanced Carbon Materials and Applied TechnologyHunan UniversityChangsha 410082HunanChina The Key Laboratory of Micro-nano Energy Materials and Application Technologies University of Hunan Province&College of Physics and Electronic EngineeringHengyang Normal UniversityHengyang 421002HunanChina Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials EngineeringUniversity of MacaoMacao 999078China Institute of Multidisciplinary Research for Advanced Materials Tohoku University2-1-1 KatahiraAoba-kuSendaiMiyagi 980-8577Japan Advanced Institute for Materials Research(WPI-AIMR) Tohoku University2-1-1 KatahiraAoba-kuSendaiMiyagi 980-8577Japan

Controlling surface chemistry is critically important for improving the initial Coulombic efficiency(ICE)and adsorption capacity of hard carbon anode used in Li/Na/K-ion ***,accurately identifying the types and concentrations of hydrogen/oxygen terminated functional groups(HTFG/OTFGs)and distinguishing their functionalities remain ***,we quantitatively investigated the surface chemistry on hard carbon via ultra-high temperature programed desorption measurements,and uncovered the role of HTFG/OTFGs in influencing ICE and adsorption capacity in Li/Na/K-ions *** C-H group is found to be dominant species on the surface of hard carbon,and presents a positive correlation with ICE values and adsorption *** low reactivity of C-H group with both electrolyte salt and solvent results in the formation of thinner and highly conducive solid electrolyte interphase(SEI)layer,which benefit for the enhanced ICE and improved Li/Na/K-ions diffusion across SEI ***,the pimping trapping effect of C-H groups allows the adsorbed Li/Na/K-ions to migrate into graphitic interlayer quickly,enhancing the slope *** fabricating a C-H group-rich surface chemistry on hard carbon,a high ICE value and satisfactory specific capacity have been *** findings enrich our understanding of the surface chemistry-induced interfacial reaction,which effectively guides the rational design of high-performance hard carbon.

关键词： Hard carbon Surface chemistry C–H bond Initial coulombic efficiency Adsorption capacity

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Explainable artificial intelligence for wind power forecasting model based on long short-term memory

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Neural Computing and Applications 2025年第19期37卷 14589-14611页

作者： Yassen, Mona Ahmed El-Kenawy, El-Sayed M. Abdel-Fattah, Mohamed Gamal Ismail, Islam Mostafa, Hossam El-Deen Salah Faculty of Artificial Intelligence Hours University Damietta Egypt Department of Electronics and Communications Engineering Faculty of Engineering Mansoura University Mansoura35516 Egypt PO Box 33349 Bahrain Polytechnic Isa Town Bahrain Applied Science Research Center Applied Science Private University Amman Jordan Jadara University Research Center Jadara University Irbid Jordan Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura35111 Egypt

Expanding the world’s economy leads to higher requirements for energy storage. Traditional energy resources decline at the same time that environmental contamination levels increase in the world. Wind power is the most potential energy resource supported by its status as a significant renewable energy system. Wind power generation has become a popular and exciting method among nations worldwide for generating renewable energy. High wind power generation unpredictability results in unavoidable errors throughout the wind power prediction process, creating substantial difficulties in the optimal management of power systems. Wind power prediction errors remain unavoidable, but appropriate wind power uncertainty models help power system operators reduce their adverse impact on operational decision-making performance. In this paper, developed an appropriate machine learning model that efficiently forecasted wind power data through time series analysis. The long Short-Term Memory (LSTM), Gated Reference Unit (GRU), and Autoregressive Integrated Moving Average (ARIMA) are the machine algorithms used in this investigation. This paper proposed an X-double LSTM, which integrates explainable artificial intelligence (XAI) and long short-term memory (LSTM). The XAI-Shapley Additive Explanations (SHAP) model is modified to pinpoint the crucial elements affecting the power generation forecasting model’s accuracy in cutting-edge solar systems. Nine metrics are used to assess the efficacy of the proposed X-double LSTM model: root mean square error, mean bias error, correlation coefficient, relative root mean square error, Nash–Sutcliffe efficiency, mean square error, mean absolute deviation, coefficient of multiple determination, and Willmott index of agreement. For MSE, RMSE, MAE, MBE, r, R2, RRMSE, NSE, and WI, the suggested model improves by 0.000 11, 0.011, 0.008, 0.008, 0.99, 0.98, 2.5, 0.98, and 0.98, respectively. Other machine learning methods, including the Transformer model

关键词： Windmill

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Materials and devices for high‐density,high‐throughput micro‐electrocorticography arrays

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Fundamental research 2025年第1期5卷 17-28页

作者： Yang Xie Yanxiu Peng Jinhong Guo Muyang Liu Bozhen Zhang Lan Yin He Ding Xing Sheng Department of Electronic Engineering Beijing National Research Center for Information Science and TechnologyInstitute for Precision MedicineLaboratory of Flexible Electronics TechnologyIDG/McGovern Institute for Brain ResearchTsinghua UniversityBeijing 100084China Beijing Engineering Research Center of Mixed Reality and Advanced Display School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China School of Materials Science and Engineering The Key Laboratory of Advanced Materials of Ministry of EducationState Key Laboratory of New Ceramics and Fine ProcessingLaboratory of Flexible Electronics TechnologyTsinghua UniversityBeijing 100084China

The pursuit of precisely recording and localizing neural activities in brain cortical regions drives the development of advanced electrocorticography(ECoG)*** progress has led to the emergence of micro-ECoG(μECoG)devices with sub-millimeter *** review presents the current research status,development directions,potential innovations and applications of high-density,high-throughputμECoG ***,we summarize the challenges associated with accurately recording single or multiple neurons using existingμECoG devices,including passive multielectrode and active transistor ***,we focus on cutting-edge advancements in passiveμECoG devices by discussing the design principles and fabrication strategies to optimize three key parameters:impedance,mechanical flexibility,and ***,recent findings highlight the need for further research and development in active transistor arrays,including silicon,metal oxide,and solution-gated *** active transistor arrays have the potential to unlock the capabilities of high-density,high-throughputμECoG devices and overcome the limitations of passive multielectrode *** review explores the potential innovations and applications ofμECoG devices,showcasing their effectiveness for both brain science research and clinical applications.

关键词： Electrocorticography Micro-electrocorticography Flexible electronics Bioelectronics Neural electrode array

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Performance of a photoelectron momentum microscope in direct- and momentum-space imaging with ultraviolet photon sources

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Journal of Synchrotron Radiation 2024年第Pt 1期31卷 195-201页

作者： Chuang, Tzu-Hung Hsu, Chuan-Che Chiu, Wei-Sheng Jhuang, Jyun-Syong Yeh, I-Chun Chen, Ruei-San Gwo, Shanjr Wei, Der-Hsin National Synchrotron Radiation Research Center Hsinchu Taiwan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei Taiwan Department of Physics National Tsing-Hua University Hsinchu Taiwan Department of Physics National Sun Yat-sen University Kaohsiung Taiwan

The Photoelectron-Related Image and Nano-Spectroscopy (PRINS) endstation located at the Taiwan Photon Source beamline 27A2 houses a photoelectron momentum microscope capable of performing direct-space imaging, momentum-space imaging and photoemission spectroscopy with position sensitivity. Here, the performance of this microscope is demonstrated using two in-house photon sources - an Hg lamp and He(I) radiation - on a standard checkerboard-patterned specimen and an Au(111) single crystal, respectively. By analyzing the intensity profile of the edge of the Au patterns, the Rashba-splitting of the Au(111) Shockley surface state at 300 K, and the photoelectron intensity across the Fermi edge at 80 K, the spatial, momentum and energy resolution were estimated to be 50 nm, 0.0172 Å-1 and 26 meV, respectively. Additionally, it is shown that the band structures acquired in either constant energy contour mode or momentum-resolved photoemission spectroscopy mode were in close agreement. © 2024 Journal of Synchrotron Radiation.

关键词： Electronic structure

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Strain engineering of anisotropic light-matter interactions in onedimensional P-P chain of SiP_(2)

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Nano research 2022年第8期15卷 7378-7383页

作者： Fanghua Cheng Junwei Huang Feng Qin Ling Zhou Xueting Dai Xiangyu Bi Caorong Zhang Zeya Li Ming Tang Caiyu Qiu Yangfan Lu Huiyang Gou Hongtao Yuan National Laboratory of Solid State Microstructures and Jiangsu Key Laboratory of Artificial Functional Materials College of Engineering and Applied SciencesNanjing UniversityNanjing 210000China College of Materials Science and Engineering National Engineering Research Center for Magnesium AlloysChongqing UniversityChongqing 400030China Center for High Pressure Science and Technology Advanced Research Beijing 100094China

Strain engineering can serve as a powerful technique for modulating the exotic properties arising from the atomic structure of *** have been demonstrated that one-dimensional(1D)structure can serve as a great platform for modulating electronic band structure and phonon dispersion via strain ***,in a van der Waals material silicon diphosphide(SiP_(2)),quasi-1D zigzag phosphorus–phosphorus(P–P)chains are embedded inside the crystal structure,and can show unique phonon vibration modes and realize quasi-1D *** those optical properties by the atom displacements via strain engineering is of great interest in understanding underlying mechanism of such P–P chains,however,which remains ***,we demonstrate the strain engineering of Raman and photoluminescence(PL)spectra in quasi-1D P–P chains and resulting in anisotropic manipulation in SiP_(2).We find that the phonon frequencies of SiP_(2)in Raman spectra linearly evolve with a uniaxial strain along/perpendicular to the quasi-1D P–P chain ***,by applying tensile strain along the P–P chains,the band gap energy of strained SiP_(2)can significantly decrease with a tunable value of~55 *** on arsenic(As)element doping into SiP_(2),the strain-induced redshifts of phonon frequencies decrease,indicating the stiffening of the phonon vibration with the increased arsenic doping *** results provide an opportunity for strain engineering of the light–matter interactions in the quasi-1D P–P chains of SiP_(2)crystal for potential optical applications.

关键词： strain engineering silicon diphosphide Raman photoluminescence

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Interfacial Tension of Hydrogenated and De-Hydrogenated Organic Hydrogen Carriers: Implications for Hydrogen Geological Storage

Interfacial Tension of Hydrogenated and De-Hydrogenated Orga...

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2024 Abu Dhabi International Petroleum Exhibition and Conference, ADIPEC 2024

作者： Ali, Muhammad Rawat, Narendra Alsubhi, Mutaz Alissa, Faisal Ghamdi, Abdulwahab Hoteit, Hussein Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Exploration and Petroleum Engineering Center-Advanced Research Center Saudi Aramco Thuwal Saudi Arabia

ISBN: (纸本)9781959025498

Organic Hydrogen Carriers (OHCs) have emerged as a promising solution for efficient hydrogen storage, addressing one of the key challenges towards enabling hydrogen economy. As the demand for renewable energy and decarbonization intensifies, the need for reliable and efficient large-scale storage and hydrogen transport becomes increasingly crucial. OHC technology offers a promising approach that enables hydrogen to be geologically stored in a liquid form, allowing for safe and convenient handling, distribution, and utilization. The ability of subsurface formations to store geologically is determined by their wetting properties and interfacial forces. These factors significantly impact residual saturations, fluid flow dynamics, injection, withdrawal rates, and containment reliability. To our knowledge, literature has yet to report these properties for most OHCs at natural geological physio-thermal conditions. Therefore, we have measured the interfacial tension of methyl-cyclohexane (MCH;hydrogenated OHC) and toluene (dehydrogenated MCH) in the presence of one molar NaCl solution at natural physio-thermal geological conditions (T = 298-343 K and P = 1-20 MPa). MCH and toluene were used as a surrounding phase, and one molar NaCl was used as a drop phase. The results suggest that IFT values decrease with temperature and increase with pressure. This is caused by the increased intermolecular interaction of one liquid to the other liquid molecule due to pressure increase, thus increasing the IFT. Similarly, temperature reduces the density of both liquids, causing a reduction in IFT. However, MCH has higher IFT values than the toluene at pressure and temperature conditions similar to the toluene. This is due to the difference in density of a similar compound's hydrogenated and de-hydrogenated form. For instance, at 10 MPa and 323 K, the IFT value for MCH was 54 mN/m (density = 0.7599 g/ml) compared to the toluene = 38 mN/m (density = 0.84762 g/ml). Our findings pave the way

关键词： Sodium chloride

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Homogeneous Catalytic Process of a Heterogeneous Ru Catalyst in Li-O2 via X-ray Nanodiffraction Observation

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ACS applied Materials and Interfaces 2024年第7期16卷 8783-8790页

作者： Liao, Chung-Hao Chiang, Ching-Yu Iputera, Kevin Hu, Shu-Fen Liu, Ru-Shi Department of Physics National Taiwan Normal University Taipei116 Taiwan Department of Chemistry Advanced Research Center for Green Materials Science and Technology National Taiwan University Taipei106 Taiwan National Synchrotron Radiation Research Center Hsinchu300 Taiwan

In recent years, lithium oxygen batteries (Li-O2) have received considerable research attention due to their extremely high energy density. However, the poor conductivity and ion conductivity of the discharge product lithium peroxide (Li2O2) result in a high charging overpotential, poor cycling stability, and low charging rate. Therefore, studying and improving catalysts is a top priority. This study focuses on the commonly used heterogeneous catalyst ruthenium (Ru). The local distribution of this catalyst is controlled by using sputtering technology. Moreover, X-ray nanodiffraction is applied to observe the relationship between the decomposition of Li2O2 and the local distribution of Ru. Results show that Li2O2 decomposes homogeneously in liquid systems and heterogeneously in solid-state systems. This study finds that the catalytic effect of Ru is related to electrolyte decomposition and that its soluble byproducts act as electron acceptors or redox mediators, effectively reducing charging overpotential but also shortening the cycle life. © 2024 American Chemical Society.

关键词： Lithium compounds

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