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p-CuGaO2/β-Ga2O3 interfaces: A high-throughput approach for interface prediction and generation for power device applications

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Materials Today Advances 2025年 26卷

作者： Prasad, Chowdam Venkata Park, Jang Hyeok Hoai Ta, Qui Thanh Kim, Kyong Jae Jeon, Ho Jung Mir, Muzaffar Ali Raza, Mohsin Tri, Nguyen Ngoc Kim, Honggyun labed, Madani Rim, You Seung Department of Semiconductor Systems Engineering and Convergence Engineering for Intelligent Drone Sejong University Seoul05006 Korea Republic of Institute of Semiconductor and System IC Sejong University Seoul05006 Korea Republic of Department of Semiconductor Systems Engineering Sejong University Seoul05006 Korea Republic of Institute of Advanced Technology Vietnam Academy of Science and Technology 1A TL29 Street Thanh Loc Ward District 12 Ho Chi Minh City700000 Viet Nam Lab of Computational Chemistry and Modelling Faculty of Natural Sciences Quy Nhon University Quy Nhon City55100 Viet Nam

This study integrates a p-type copper gallium oxide (p-CuGaO2) interlayer to enhance the performance of β-Ga2O3-based power devices, addressing challenges in achieving reliable p-type doping. The p-CuGaO2 interlayer is expected to improve breakdown voltage (BV) and reduce leakage current, increasing device efficiency and reliability under high-temperature conditions. The heterojunction (HJ) system of β-Ga2O3 and p-CuGaO2 is investigated using density functional theory (DFT) via the Vienna Ab initio Simulation Package (VASP) and experimental methods, focusing on the β-Ga2O3 (001)/p-CuGaO2 (006) interface. Binding energy, electron localization, charge density difference, and electrostatic potential drop are analyzed, identifying Configuration-1 as the optimal configuration due to its high binding energy and favorable structural properties. Annealing temperature impacts the microstructure, stoichiometry, optical, electrical, and transport properties of p-CuGaO2/β-Ga2O3 HJs. Electrical measurements reveal reduced turn-on voltage (Von), on-resistance (Ron), and leakage currents, with the highest BV of 1.62 kV achieved at 800 °C compared to Pt/β-Ga2O3 Schottky barrier diode (SBD). The interface state density (NSS) is evaluated using the high-low frequency approach. Silvaco TCAD simulations explore breakdown mechanisms, demonstrating the potential of p-CuGaO2 for β-Ga2O3 HJ power devices. These findings support the development and manufacture of robust β-Ga2O3 HJ power devices. © 2025 The Authors

关键词： Heterojunctions

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Convolutional Embedding Makes Hierarchical Vision Transformer Stronger

arXiv

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arXiv 2022年

作者： Wang, Cong Xu, Hongmin Zhang, Xiong Wang, Li Zheng, Zhitong Liu, Haifeng Data & AI Engineering System OPPO Beijing China Beijing Key Lab of Urban Intelligent Traffic Control Technology North China University of Technology Beijing China University of Science and Technology of China Hefei China Neolix Autonomous Vehicle Beijing China

Vision Transformers (ViTs) have recently dominated a range of computer vision tasks, yet it suffers from low training data efficiency and inferior local semantic representation capability without appropriate inductive bias. Convolutional neural networks (CNNs) inherently capture regional-aware semantics, inspiring researchers to introduce CNNs back into the architecture of the ViTs to provide desirable inductive bias for ViTs. However, is the locality achieved by the micro-level CNNs embedded in ViTs good enough? In this paper, we investigate the problem by profoundly exploring how the macro architecture of the hybrid CNNs/ViTs enhances the performances of hierarchical ViTs. Particularly, we study the role of token embedding layers, alias convolutional embedding (CE), and systemically reveal how CE injects desirable inductive bias in ViTs. Besides, we apply the optimal CE configuration to 4 recently released state-of-the-art ViTs, effectively boosting the corresponding performances. Finally, a family of efficient hybrid CNNs/ViTs, dubbed CETNets, are released, which may serve as generic vision backbones. Specifically, CETNets achieve 84.9% Top-1 accuracy on ImageNet-1K (training from scratch), 48.6% box mAP on the COCO benchmark, and 51.6% mIoU on the ADE20K, substantially improving the performances of the corresponding state-of-the-art baselines. Copyright © 2022, The Authors. All rights reserved.

关键词： Embeddings

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A general method for event detection on social media

arXiv

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arXiv 2021年

作者： Zhang, Yihong Shirakawa, Masumi Hara, Takahiro Multimedia Data Engineering Lab Graduate School of Information Science and Technology Osaka University Osaka Japan

Event detection on social media has attracted a number of researches, given the recent availability of large volumes of social media discussions. Previous works on social media event detection either assume a specific type of event, or assume certain behavior of observed variables. In this paper, we propose a general method for event detection on social media that makes few assumptions. The main assumption we make is that when an event occurs, affected semantic aspects will behave differently from its usual behavior. We generalize the representation of time units based on word embeddings of social media text, and propose an algorithm to detect events in time series in a general sense. In the experimental evaluation, we use a novel setting to test if our method and baseline methods can exhaustively catch all real-world news in the test period. The evaluation results show that when the event is quite unusual with regard to the base social media discussion, it can be captured more effectively with our method. Our method can be easily implemented and can be treated as a starting point for more specific applications. © 2021, CC BY.

关键词： Social networking (online)

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TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning

TOTAL: Multi-Corners Timing Optimization Based on Transfer a...

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Design Automation Conference

作者： Wei W. Xing Zheng Xing Rongqi Lu Zhelong Wang Ning Xu Yuanqing Cheng Weisheng Zhao School of Integrated Circuit Science and Engineering Beihang University Beijing China Graphics & Computing Department Rockchip Electronics Co. Ltd Fuzhou China College of Physics and Electronic Engineering Sichuan Normal University Sichuan China School of Information Engineering Wuhan University of Technology Wuhan China Zhejiang Lab. Hangzhou China

In modern advanced integrated circuit design, a design normally needs to be progressively optimized until the static timing analysis (STA) of full process corners meets the timing constraints. To improve efficiency, using machine learning to predict the path timings directly in order to reduce the extensive time-consuming SPICE simulations has become a promising technique to approach fast design closure. However, current methods lack both flexibility and reliability to be used in a practical industrial environment. To resolve these challenges, we propose TOTAL, which is constructed using a generalized linear model with latent features to effectively capture knowledge transferred from previous designs and delivers state-of-the-art (SOTA) prediction accuracy that is up to 6.6x improvement over the competitors in terms of mean absolute error (MAE). Most importantly, TOTAL is equipped with a Bayesian decision strategy to actively update uncertain predictions and deliver reliable predictions with accuracy close to 100%, pushing the frontier of the machine-learning-based STA for practical implementation.

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Multi-objective Optimization of A CCHP system Model Integrated with P2G for Decarbonization

Multi-objective Optimization of A CCHP System Model Integrat...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Pengyu Wei Olusola Bamisile Dongsheng Cai Jian Li Humphrey Adun Qi Huang School of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control University of Electronic Science and Technology of China Chengdu China Energy Systems Engineering Department Cyprus International University KKTC Mersin Turkey

To realize the dual carbon policy, the goal of energy saving, and emission reduction, it is important to develop ways to better promote the low carbon economic operation of energy systems. Therefore, this research proposes an optimal operation strategy considering the electric-gas-cooling-heat demand response. Considering the demand response of each participant, an integrated energy system model with photovoltaic, wind energy, and traditional grid as energy supply. Also, electric energy, natural gas, cooling, and heating subsystems with co-production are established. With minimizing the overall system operation cost and optimizing environmental protection, the improved particle swarm optimization algorithm is used to solve the multi-constrained objective optimization problem. Finally, the optimized model is tested. The results from this study show that the energy system under cogeneration can find a balance between economy and environmental friendliness, and provide a reference for the subsequent energy supply configuration.

关键词： Photovoltaic systems Renewable energy sources Wind energy systems operation system integration Demand response Particle swarm optimization

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Potential Challenges and Food Security Responses to Climate Change in China and Mongolia in the Post-COP28 Era

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Journal of Resources and Ecology 2025年第1期16卷 22-35页

作者： CHEN Jiannan Faith Ka Shun CHAN WANG Jiayu FENG Meili WANG Zilin Ochir ALTANSUKH SHAO Yating LI Pengfei WANG School of Human Settlements and Civil Engineering Xi’an Eurasia UniversityXi’an 710054China College of Geomatics Xi’an University of Science and TechnologyXi’an 710054China School of Geographical Sciences University of Nottingham Ningbo ChinaNingboZhejiang 315100China Water@Leeds Research Institute and School of Geography University of LeedsLeeds LS29JTUK Research Centre for Intelligent Management&Innovation Development/Research Base for Shenzhen Municipal Policy&Development Southern University of Science and TechnologyShenzhenGuangdong 518000China Key Laboratory of Urban Environment and Health Institute of Urban EnvironmentChinese Academy of SciencesXiamenFujian 361021China Department of Environment and Forest Engineering School of Engineering and Technology and Environmental Engineering LaboratoryNational University of MongoliaUlaanbaatar 14201Mongolia State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

After the COP28 Conference,many countries are increasingly concerned about their future practices regarding food *** North Asia,the Northeast China is the major food production base for the *** the border,the economy of Mongolia is heavily reliant on agricultural production and animal *** recent years,climatic extremes such as droughts and floods,combined with human-induced overgrazing,have posed alarming threats to food *** review illustrates the challenges and constraints these two countries are facing due to climate changes and summarizes the existing measures and established programs in both ***,we develop the“climate resilient agriculture”(CRA)framework for improving agricultural *** framework emphasizes the importance of international institutions,such as the World Bank,and developed countries to provide more financial and technological support to bolster climate resilience in Northern ***,we conclude by encouraging cross-border co-production and collaborations among governments to implement the CRA framework to tackle future climatic challenges.

关键词： agricultural sensitivity climatic extremes climate resilient agriculture(CRA) food security China and Mongolia

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Green‑Solvent Processed Blade‑Coating Organic Solar Cells with an Efficiency Approaching 19%Enabled by Alkyl‑Tailored Acceptors

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Nano-Micro Letters 2023年第12期15卷 449-462页

作者： Hairui Bai Ruijie Ma Wenyan Su Top Archie Dela Pea Tengfei Li Lingxiao Tang Jie Yang Bin Hu Yilin Wang Zhaozhao Bi Yueling Su Qi Wei Qiang Wu Yuwei Duan Yuxiang Li Jiaying Wu Zicheng Ding Xunfan Liao Yinjuan Huang Chao Gao Guanghao Lu Mingjie Li Weiguo Zhu Gang Li Qunping Fan Wei Ma State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049People’s Republic of China Jiangsu Engineering Research Center of Light‑Electricity‑Heat Energy‑Converting Materials and Applications School of Materials Science and EngineeringChangzhou UniversityChangzhou 213164People’s Republic of China Key Lab of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education/National Engineering Research Center for Carbohydrate Synthesis Jiangxi Normal University99 Ziyang AvenueNanchang 330022People’s Republic of China Department of Electronic and Information Engineering Research Institute for Smart Energy(RISE)The Hong Kong Polytechnic UniversityKowloon 999077Hong KongPeople’s Republic of China School of Materials Science and Engineering Xi’an University of Science and TechnologyXi’an 710054People’s Republic of China Department of Applied Physics The Hong Kong Polytechnic UniversityKowloon 999077Hong KongPeople’s Republic of China Advanced Materials Thrust Function HubThe Hong Kong University of Science and TechnologyNanshaGuangzhouPeople’s Republic of China School of Chemistry and Chemical Engineering Beijing Institute of TechnologyBeijing 100081People’s Republic of China Key Laboratory of Applied Surface and Colloid Chemistry Ministry of EducationShaanxi Key Laboratory for Advanced Energy DevicesShaanxi Engineering Lab for Advanced Energy TechnologySchool of Materials Science and EngineeringShaanxi Normal UniversityXi’an 710119People’s Republic of China Frontier Institute of Science and Technology Xi’an Jiaotong UniversityXi’an 710054People’s Republic of China Xi’an Key Laboratory of Liquid Crystal and Organic Photovoltaic Materials State Key Laboratory of Fluorine&Nitrogen ChemicalsXi’an Modern Chemistry Research InstituteXi’an 710065People’s Republic of China

Power-conversion-efficiencies(PCEs)of organic solar cells(OSCs)in laboratory,normally processed by spin-coating technology with toxic halogenated solvents,have reached over 19%.However,there is usually a marked PCE drop when the bladecoating and/or green-solvents toward large-scale printing are used instead,which hampers the practical development of ***,a new series of N-alkyl-tailored small molecule acceptors named YR-SeNF with a same molecular main backbone are developed by combining selenium-fused central-core and naphthalene-fused *** to the N-alkyl engineering,NIR-absorbing YR-SeNF series show different crystallinity,packing patterns,and miscibility with polymeric *** studies exhibit that the molecular packing,crystallinity,and vertical distribution of active layer morphologies are well optimized by introducing newly designed guest acceptor associated with tailored N-alkyl chains,providing the improved charge transfer dynamics and stability for the PM6:L8-BO:YRSeNF-based *** a result,a record-high PCE approaching 19%is achieved in the blade-coating OSCs fabricated from a greensolvent o-xylene with high-boiling ***,ternary OSCs offer robust operating stability under maximum-power-point tracking and well-keep>80%of the initial PCEs for even over 400 *** alkyl-tailored guest acceptor strategy provides a unique approach to develop green-solvent and blade-coating processed high-efficiency and operating stable OSCs,which paves a way for industrial development.

关键词： Alkyl-tailored guest acceptors Blade-coating Green solvent processing Stability Organic solar cells

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The Hydration of Ternary Blended Cements with Calcined Coal Gangue and Limestone

SSRN

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SSRN 2024年

作者： Sun, Jinfeng Chen, Yiqing Hou, Pengkun Zhou, Hao Ma, Jian Zhang, Daan Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province Yancheng Institute of Technology Jiangsu Yancheng224051 China Shandong Provincial Key Lab for the Preparation and Measurement of Building Materials University of Jinan Shandong Jinan250022 China Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment of the People’s Republic of China Jiangsu Nanjing210042 China College of Environmental Science and Engineering Nanjing University of Information Science and Technology Jiangsu Nanjing210044 China

Kaolinite-type coal gangue (CG) originating from coal mining has demonstrated promising performance as a novel kind of supplementary cementitious material (SCM) after calcination. However, its synergistic use with limestone hasn’t yet been thoroughly investigated. In this paper, the hydration properties of ternary cements made of CCG and limestone were investigated, taking into account the effect of the kaolinite content in the CG. First, CCG was characterized using X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR), followed by evaluation of the pozzolanic reaction by the bound water test. Then, the ternary systems were designed where 15%, 30%, 45% and 60% of the cement by mass was replaced by CCG and limestone with a fixed mass ratio of 2:1. The compressive strength of the mortars up to 28 days was measured and the strength efficiency combined with CO2 emission was also compared. Finally, the involved hydration mechanism was revealed using isothermal calorimetry, quantitative XRD, thermogravimetric (TG) analysis, scanning electron microscopy (SEM) and mercury intrusion porosimetry (MIP). The results showed that kaolinite in CG was transformed into metakaolin as calcined at 800 °C, which exhibited high pozzolanic activity, especially for the initial CG with higher kaolinite content. The use of CCG with more than 30% kaolinite in CG allows CCG and limestone to replace up to 30% by mass of cement while maintaining the compressive strength of cement from 7 days onwards. Microstructural studies revealed that the compressive strength of these ternary blended cements at 3 and 7 days was mainly dominated by cement hydration and the pozzolanic reaction between CCG and portlandite (CH), respectively. The synergistic addition of CCG together with limestone enhanced the precipitation of carboaluminate hydrates, which well refined the pore structure of the ternary blended cements, as evidenced by the significantly decreased critical pore size and the i

关键词： Hydration

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Blind Beamforming for RIS-aided High-Speed Train Communication with Doppler Pre-Compensation

Blind Beamforming for RIS-aided High-Speed Train Communicati...

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IEEE International Conference on Communications in China (ICCC)

作者： Fuyong Han Jiakang Zheng Mingbo You Huahua Xiao Jiayi Zhang Bo Ai School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong University Beijing China State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE Corporation Shenzhen P. R. China

High-speed train (HST) communications with reconfigurable intelligent surface (RIS) techniques have caused extensive research in recent years. In this paper, we study the RIS-aided HST scenario, considering Doppler pre-compensation at the base station (BS), and then align the RIS beam with the train without channel estimation. Firstly, we study and modify a blind beamforming algorithm for static scenarios and propose a new algorithm for HST scenarios. Considering the bad effect of Doppler frequency offset, caused by the high speed of the train, on system performance, and the predictability of the train track, we intend to use the Kalman filter to estimate train state information (including position and speed) in a single time step. Based on the estimated velocity, the Doppler effect is pre-compensated at the BS. According to the simulation results, we find the proposed algorithm can achieve the signal-to-noise ratio boost of the original algorithm under the condition of reduced complexity.

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Data-Driven Distributionally Robust Mixed-Integer Control through Lifted Control Policy

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IEEE Transactions on Automatic Control 2025年

作者： Ma, Xutao Ning, Chao Du, Wenli Shi, Yang Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China University of Victoria Department of Mechanical Engineering VictoriaBCV8W 3P6 Canada

This paper investigates the finite-horizon distributionally robust mixed-integer control (DRMIC) of uncertain linear systems. However, deriving an optimal causal feedback control policy to this DRMIC problem is computationally formidable for most ambiguity sets. To address the computational challenge, we propose a novel distributionally robust lifted control policy (DR-LCP) method to derive a high-quality approximate solution to this DRMIC problem for a rich class of Wasserstein metric-based ambiguity sets, including the Wasserstein ambiguity set and its variants. In theory, we analyze the asymptotic performance and establish a tight non-asymptotic bound of the proposed method. In numerical experiments, the proposed DR-LCP method empirically demonstrates superior performance compared with existing methods in the literature. ©1963-2012 IEEE.

关键词： Mixed-integer linear programming

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