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High-Performance Stable Hybrid Inorganic-Organic Light-Emitting

SmartMat 2025年第1期6卷 195-202页

作者： Huixue HuangI Zhagen Miao?|Haikuo Gao I Jin Cao|Yanqiong ZhengI Can Gao?|Xifeng Li|Guangcai Yuan+Huani Dong D Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai UniversityShanghaiChina I 2Bejing National Laboratory for Molecular SciencesKey Laboratory of Organic SolidsInstitute of ChemistryChinese Academy of SciencesBejingChina I 3shandong Engineering Research Center of Aeronautical Materials and DevicesCollege of Aeronautical EngineeringShandong University of AeronauticsBinzhouChina I 4BOE Technology Group Co.Ltd.BeijingChina

Light-emitting transistors(LETs)as novel integrated optoelectronic devices demonstrate great potential applications in smart displays and visual intelligent *** construction of high-performance area-emission LETs with low power con-sumption and good reliability is urgently needed for advancing their applications,however,this integration has not been realized within a single ***,we demonstrate a kind of planar-driven hybrid LET(PDHLET)that makes use of the unique advantages of high mobility and stability of inorganic and organic semiconductors in the same *** incorporating an indium-zinc-gallium-oxide(InZnGeO)conducting layer and organic emissive layer,a high-performance stable blue-emissive PDHLET is constructed,giving a high Ion/lofr ratio approaching 6.1×10°and a low Von of 5.5 V along with maximum brightness of 1264 cd/m?as well as small Vrh shift of 0.5V after 1000s positive stress ***,a systematic simulation,including charge concentration and Langevin recombination rate,is carried out on PDHLET for the first time,demonstrating good consistency with experimental *** confirms the uniformity of high redistributed charge concentration in the InZnGeO conducting layer which thus enables good area *** study provides a new avenue for constructing high-performance stable LETs toadvancevarious field applications.

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Secondary crystallization strategy for highly efficient inorganic CsPbI_(2)Br perovskite solar cells with efficiency approaching 17%

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Journal of Energy Chemistry 2021年第12期30卷 558-565,I0013页

作者： Jing Ma Zhenhua Lin Xing Guo Long Zhou Jian He Zhou Yang Jincheng Zhang Yue Hao Shengzhong Liu Jingjing Chang State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology Shaanxi Joint Key Laboratory of GrapheneSchool of MicroelectronicsXidian University2 South Taibai RoadXi’an 710071ShaanxiChina Advanced Interdisciplinary Research Center for Flexible Electronics Xidian University2 South Taibai RoadXi’an 710071ShaanxiChina Key Laboratory of Applied Surface and Colloid Chemistry National Ministry of Education Shaanxi Engineering Lab for Advanced Energy TechnologySchool of Materials Science and EngineeringShaanxi Normal UniversityXi’an 710119ShaanxiChina

Inorganic CsPbI_(2) Br perovskite solar cells(PSCs) have a tremendous development in last few years due to the trade-off between the excellent optoelectronic properties and the relatively outstanding ***,we demonstrated a strategy of secondary crystallization(SC) for CsPbI_(2) Br film in a facile planar n-i-p structure(ITO/ZnO-SnO_(2)/CsPbI_(2) Br/Spiro-OMeTAD/Ag) at low-temperature(150℃).It is achieved through the method of post-treatment with guanidinium bromine(GABr) atop annealed CsPbI_(2) Br *** was found that the secondary crystallization by GABr can not only regulate the crystal growth and passivate defects,but also serve as a charge collection center to effectively collect photogenerated *** addition,due to the excess Br ions in GABr,the formation of the Br-rich region at the CsPbI_(2) Br perovskite surface can further lower the Fermi level,leading to more beneficial band alignment between the perovskite and the hole transport layer(HTL),while the phase stability was also *** a result,the champion cell shows a superb open-circuit voltage(V_(oc)) of 1.31 V,a satisfactory power conversion efficiency(PCE) of 16.97% and outstanding *** far as we know,this should be one of the highest PCEs reported among all-inorganic CsPbI_(2) Br based PSCs.

关键词： CsPbI_(2)Br Low temperature Secondary crystallization High performance

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Microstructure Evolution and Dynamic Recrystallization Mechanisms During Hot Deformation of As-Cast Udimet720Li Superalloy

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Journal of Materials engineering and Performance 2025年 1-17页

作者： Sha, Lei Wang, Bingbing Chen, Xiaokang Zhong, Kangdi Zhou, Zongjie Xue, Lian Wang, Xiaoning College of Aeronautical Changji University Changji China Key Laboratory of Intelligent Perception and Air Traffic Control Operation Safety Technology of Unmanned System in Changji University Changji China Xinjiang Advanced Manufacturing Engineering and Technology Research Centre Xinjiang University Urumqi China Department of Mechanical Engineering Xinjiang University Urumqi China

This study investigated the microstructure evolution and DRX mechanism during the hot deformation of an as-cast Ni–Co–Cr-based precipitation–hardening superalloy, specifically Udimet720Li. Thermal simulation compression tests were conducted at two temperatures of 1050 °C and 1150 °C, with varying strains to analyze the microstructure evolution. A CA model was established to simulate the influence of hot deformation parameters on the microstructure of the alloy during the DRX process. EBSD and TEM were employed to investigate the microstructure evolution and the nucleation mechanisms of DRX at 1050 °C and 1150 °C. The results indicated that at the lower temperature (1050 °C), fine DRX grains tended to cluster at the initial grain boundaries under low strain, with DRX gradually increasing with strain. Conversely, at the higher temperature (1150 °C), DRX grains formed a necklace-like distribution, thereby achieving a more homogeneous microstructure at high strain. The CA model simulations of the microstructure evolution correlated with the experimental results. Finally, it was observed that both DDRX and CDRX occurred at the lower temperature, with DDRX being the dominant mechanism. At the higher temperature, DDRX, characterized by grain boundary bulging, predominated the DRX process, while the overall contribution of CDRX decreased. The findings of this study are helpful to understand the microstructure evolution and DRX mechanism of as-cast Udimet720Li alloy during hot forming process, and provide a model for the simulation and prediction of microstructure, which provides a basis for the precise control of microstructure during hot-working process.

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Activating lattice oxygen of two-dimensional MnXn-1O2 MXenes via zero-dimensional graphene quantum dots for water oxidation

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Science China Materials 2022年第11期65卷 3053-3061页

作者： Yiyuan Ma Yurong An Zhuo Xu Laifei Cheng Wenyu Yuan Science and Technology on Thermostructural Composite Materials Laboratory School of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Solidification Processing School of Material Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Shaanxi Key Laboratory for Advanced Energy Devices Shaanxi Engineering Lab for Advanced Energy TechnologyInstitute for Advanced Energy MaterialsSchool of Materials Science and EngineeringShaanxi Normal UniversityXi’an 710119China Key Laboratory of Macromolecular Science of Shaanxi Province Key Laboratory of Applied Surface and Colloid ChemistrySchool of Chemistry&Chemical EngineeringShaanxi Normal UniversityXi’an 710062China

The poor oxygen evolution reaction(OER)activity of two-dimensional(2 D)transition metal carbides(MXenes)is a major obstacle to their application in highperformance water splitting and fuel cells due to the high energy barriers for the absorption of ***,we demonstrate that the lattice oxygen of M_(n)X_(n-1)O_(2)MXenes can be activated by 0 D graphene quantum dots(GQDs),thereby activating the OER via the lattice-oxygen oxidation mechanism(LOM)instead of the conventional adsorbate evolving *** pH-dependent OER activity of M_(n)X_(n-1)O_(2)@GQDs and ^(18)O isotope-labelling experiments with time-of-flight secondary-ion mass spectrometry(TOF-SIMS)provide the direct evidence of ***,the activated lattice oxygen amount can be controlled by the *** as-prepared 0 D/2 D Ti_(3)C_(2)O_(2)@GQDs heterostructure delivers a highly reduced overpotential of 390 mV(bare Ti_(3)C_(2)O_(2):530 mV)at a benchmark current density of 10 mA cm^(-2).Through optimizing the thickness and the additional conductive substrate,the overpotential at 10 mA cm^(-2)decreases to 250 mV,while the Tafel slope is reduced to 39 mV dec^(-1);these values indicate the as-prepared heterostructure is superior to the state-of-the-art MXene-based OER *** work provides a new strategy to enhance the OER activity of M_(n)X_(n-1)O_(2)and extends the application of LOM from perovskite to MXenes.

关键词： graphene quantum dots lattice-oxygen activation oxygen evolution reaction water splitting heterostructure

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3-Ethoxy-4-Hydroxybenzadehyde surface Passivation of Perovskite Films Enables Over 24% Efficiency in Solar Cells

SSRN

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SSRN 2023年

作者： Lu, Chenrui Wu, Yuxin Gao, Fei Li, Yuanrui Shi, Bonan Cai, Xuediao Zhang, Junqi Yang, Fei Liu, Shengzhong Key Laboratory of Applied Surface and Colloid Chemistry National Ministry of Education Shaanxi Key Laboratory for Advanced Energy Devices Shaanxi Engineering Lab for Advanced Energy Technology School of Materials Science and Engineering Shaanxi Normal University Xi’an710119 China

On the surface of perovskite films there are large quantities defects produced during preparation and exposure to air ambiance, and they are a key constraint to the performance of perovskite solar cells (PSCs). Passivating defects via organic molecule is an effective approach to fabricate efficient and stable PSCs. Herein, an organic molecule 3-Ethoxy-4-hydroxybenzadehyde (EVL) is employed to passivate the surface defects on the perovskite films. The carbonyl (-C=O) functional group of EVL can passivate the under-coordinated lead ion (Pb2+) defect, and its hydroxyl (-OH) and alkoxy (-O-CH2) groups can impede the migration of formamidine ion (FA+) and iodide ion (I-) on the perovskite via hydrogen bond interaction. The research indicates that EVL can significantly reduce defect state, effectively suppress carrier recombination, and preferably promote hole movement from perovskite layer to the hole transport layer. Therefore, EVL passivation produced a significant increase of efficiency from 21.9% to 24.1% and improved environmental stability of PSCs. This study demonstrates that the EVL is an effective passivator in surface defect passivation engineering to enhance the efficiency and stability of PSCs. © 2023, The Authors. All rights reserved.

关键词： Efficiency

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Towards sustainable and intelligent urban transportation: A novel deep transfer reinforcement learning framework for eco-driving of fuel cell buses

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Energy 2025年 330卷

作者： Huang, Ruchen He, Hongwen Su, Qicong Wu, Jingda National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology Beijing100081 China School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China School of Engineering and Design Technical University of Munich Munich80333 Germany Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic University Hong Kong

Eco-driving is a sustainable technology that optimizes both energy management and speed planning for electrified vehicles. Particularly when combined with emerging deep reinforcement learning (DRL) techniques, eco-driving strategies (EDSs) can be more intelligent. However, current research on eco-driving, namely the holistic solution, lags behind the advancements in its sub-problem namely energy management, and the development of DRL-based EDSs remains time-consuming. Since energy management is a sub-task of eco-driving, it offers a potential way to rapidly develop EDSs by reusing pre-trained energy management strategies (EMSs). Based on this, this paper proposes an expedited method for developing soft actor-critic (SAC) based EDSs for fuel cell buses (FCBs) in the vehicle-following scenario. To ensure that SAC-based EMSs can be effectively transferred to EDSs, an innovative heterogeneous deep transfer reinforcement learning framework is designed. Within this framework, all the knowledge learned in the source EMS can be transferred and reused by the target EDS. More importantly, the transferability of heterogeneous deep neural networks and heterogeneous experience replay buffers is particularly verified. Simulation results show that the proposed framework provides a 71.01 % acceleration in convergence speed and a 7.30 % improvement in fuel economy. This article contributes to correlating different optimization tasks of FCBs through advanced artificial intelligence technologies. © 2025

关键词： Deep reinforcement learning

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Debris flow simulation 2D(DFS 2D):Numerical modelling of debris flows and calibration of friction parameters

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Journal of Rock Mechanics and Geotechnical engineering 2022年第6期14卷 1747-1760页

作者： Minu Treesa Abraham Neelima Satyam Biswajeet Pradhan Hongling Tian Department of Civil Engineering Indian Institute of Technology IndoreIndoreIndia Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia Center of Excellence for Climate Change Research King Abdulaziz UniversityJeddahSaudi Arabia Earth Observation Centre Institute of Climate ChangeUniversity Kebangsaan MalaysiaBangiMalaysia Key Laboratory of Mountain Hazards and Surface Process Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengduChina

Debris flows are rapid mass movements with a mixture of rock,soil and ***-intensity rainfall events have triggered multiple debris flows around the globe,making it an important concern from the disaster management *** study presents a numerical model called debris flow simulation 2D(DFS 2D)and applicability of the proposed model is investigated through the values of the model parameters used for the reproduction of an occurred debris flow at Yindongzi gully in China on 13 August *** model can be used to simulate debris flows using three different rheologies and has a userfriendly interface for providing the *** DFS 2D,flow parameters can be estimated with respect to space and *** values of the flow resistance parameters of model,dry-Coulomb and turbulent friction,were calibrated through the back analysis and the values obtained are 0.1 and 1000 m/s^(2),*** new methods of calibration are proposed in this study,considering the crosssectional area of flow and topographical changes induced by the debris *** proposed methods of calibration provide an effective solution to the cumulative errors induced by coarse-resolution digital elevation models(DEMs)in numerical modelling of debris *** statistical indices such as Willmott's index of agreement,mean-absolute-error,and normalized-root-mean-square-error of the calibrated model are 0.5,1.02 and 1.44,*** comparison between simulated and observed values of topographic changes indicates that DFS 2D provides satisfactory results and can be used for dynamic modelling of debris flows.

关键词： Debris flows Numerical model Rheology Debris flow simulation 2D(DFS 2D)

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DPA-2:a large atomic model as a multitask learner

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npj Computational Materials 2024年第1期10卷 185-199页

作者： Duo Zhang Xinzijian Liu Xiangyu Zhang Chengqian Zhang Chun Cai Hangrui Bi Yiming Du Xuejian Qin Anyang Peng Jiameng Huang Bowen Li Yifan Shan Jinzhe Zeng Yuzhi Zhang Siyuan Liu Yifan Li Junhan Chang Xinyan Wang Shuo Zhou Jianchuan Liu Xiaoshan Luo Zhenyu Wang Wanrun Jiang Jing Wu Yudi Yang Jiyuan Yang Manyi Yang Fu-Qiang Gong Linshuang Zhang Mengchao Shi Fu-Zhi Dai Darrin M.York Shi Liu Tong Zhu Zhicheng Zhong Jian Lv Jun Cheng Weile Jia Mohan Chen Guolin Ke Weinan E Linfeng Zhang Han Wang AI for Science Institute BeijingP.R.China DP Technology BeijingP.R.China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijingP.R.China State Key Lab of Processors Institute of Computing TechnologyChinese Academy of SciencesBeijingP.R.China University of Chinese Academy of Sciences BeijingP.R.China HEDPS CAPTCollege of EngineeringPeking UniversityBeijingP.R.China Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingboP.R.China CAS Key Laboratory of Magnetic Materials and Devices and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Chinese Academy of SciencesNingboP.R.China School of Electronics Engineering and Computer Science Peking UniversityBeijingP.R.China Shanghai Engineering Research Center of Molecular Therapeutics&New Drug Development School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghaiP.R.China Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine and Department of Chemistry and Chemical BiologyRutgers UniversityPiscatawayNJUSA Department of Chemistry Princeton UniversityPrincetonNJUSA College of Chemistry and Molecular Engineering Peking UniversityBeijingP.R.China Yuanpei College Peking UniversityBeijingP.R.China School of Electrical Engineering and Electronic Information Xihua UniversityChengduP.R.China State Key Laboratory of Superhard Materials College of PhysicsJilin UniversityChangchunP.R.China Key Laboratory of Material Simulation Methods&Software of Ministry of Education College of PhysicsJilin UniversityChangchunP.R.China International Center of Future Science Jilin UniversityChangchunP.R.China Key Laboratory for Quantum Materialsof Zhejiang Province Department of PhysicsSchool of ScienceWestlake UniversityHangzhouP.R.China Atomistic Simulations Italian Institute of TechnologyGenovaItaly State Key Laboratory of Physical Chemistry of Solid Surface iChEMCollege of Chemistry and Chemical EngineeringXiame

The rapid advancements in artificial intelligence(AI)are catalyzing transformative changes in atomic modeling,simulation,and ***-driven potential energy models havedemonstrated the capability to conduct large-scale,long-duration simulations with the accuracy of ab initio electronic structure ***,the model generation process remains a bottleneck for large-scale *** propose a shift towards a model-centric ecosystem,wherein a large atomic model(LAM),pretrained across multiple disciplines,can be efficiently fine-tuned and distilled for various downstream tasks,thereby establishing a new framework for molecular *** this study,we introduce the DPA-2 architecture as a prototype for ***-trained on a diverse array of chemical and materials systemsusing a multi-task approach,DPA-2demonstrates superior generalization capabilities across multiple downstream tasks compared to the traditional single-task pre-training and fine-tuning *** approach sets the stage for the development and broad application of LAMs in molecular and materials simulation research.

关键词： DPA establishing thereby

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Atomic Layer Deposition of High-Capacity Anodes for Next-Generation Lithium-Ion Batteries and Beyond

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Energy & Environmental Materials 2021年第3期4卷 363-391页

作者： Yanqiang Cao Xiangbo Meng Aidong Li Institute of Micro-nano Photonic&Beam Steering School of ScienceNanjing University of Science and TechnologyNanjing 210094China Department of Mechanical Engineering Center for Advanced Surface EngineeringUniversity of ArkansasFayetteville AR 72701USA Materials Science and Engineering Department National Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesCollaborative Innovation Center of Advanced MicrostructuresJiangsu Key Laboratory of Artificial Functional MaterialsNanjing UniversityNanjing 210093China

Electrification has great impacts on our modern *** electrify future transportation,state-of-the-art lithium-ion batteries(LIBs)are still not sufficient in multiple aspects including cost,energy density,lifespan,and *** this end,next-generation high-energy LIBs and beyond are highly *** this regard,high-capacity anodes are undergoing intensive investigation,such as silicon,SnO_(2),and lithium ***,such anode materials are commonly experiencing large volume changes and related issues,which are reflected on mechanical degradation,capacity fading,low efficiency,and unsatisfactory *** address these challenges,many technical strategies have been *** the past decade,atomic layer deposition(ALD)has emerged as a new promising technique enabling atomic-scale surface modification and nanoscale design of high-capacity anodes for high *** this review,recent ALD studies on developing high-capacity anodes for LIBs and beyond are thoroughly *** addition,ALD strategies and their effectiveness in pursing high-energy LIBs and beyond are ***,we highlighted the latest advances of ALD for addressing the notorious issues associated with Li metal *** is expected that this work will promote the applications of ALD in new battery systems.

关键词： atomic layer deposition high-capacity anodes lithium-ion batteries and beyond nanostructured electrodes surface coating

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Grain selection and growth orientation of prior-β phase for Ti-6-4 during additive manufacturing:insights from a modeling perspective

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China Foundry 2021年第2期18卷 83-93页

作者： Wei-zhao Sun Fei-hu Shan Nan-fu Zong Hong-biao Dong Tao Jing Key Laboratory for Advanced Materials Processing Technology Ministry of EducationSchool of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Science and Technology on Power Beam Processes Laboratory AVIC Beijing Aeronautical Manufacturing Technology Research InstituteBeijing 100024China School of Engineering University of LeicesterLEI 7RHUK

The microstructure of Ti-6-4 components produced by additive manufacturing suffers from the coarse and elongated prior-β grain,which leads to a decrease of the tensile behavior and the occurrence of *** understand and control the grain evolution,a multiscale simulation is applied to investigate the relationship between the grain selection,growth orientation,and the molten pool morphology with the different deposition layer numbers and processing *** accuracy of the simulation is validated by experiments in both qualitative and quantitative *** show that when the grain with unfavorable orientation loses the competitive growth with its neighbors,there will be a great chance that the blocked grain is eliminated in the following layer-and-layer deposition,which leads to the increase of the grain *** size of the molten pool increases remarkably as the layer number increases,which lays a heavy burden on the stability of the molten *** analytical relationship between the molten pool morphology and the grain growth orientation is also *** flat molten pool causes the grains with the <001> direction close to the building direction to have greater survival ***,decreasing the line power energy shows little effect on the stability of the molten pool and the grain growth orientation,especially when the deposited layer number is *** revealing mechanisms will help in understanding and further controlling the grain evolution.

关键词： additive manufacturing Ti-6-4 simulation grain selection grain growth

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