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Mainchain conformation ordering self-assembly tailored room temperature phosphorescence emission

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Science China Chemistry 2025年第01期 329-336页

作者： Yuzhu Li Yumeng gao Feng tian Yu Wang Yuan Yao Shaoliang Lin Xiang Ma Binbin Xu Shanghai Key Laboratory of Advanced Polymeric Materials Key Laboratory for Ultrafine Materials of Ministry of Education School of Materials Science and Engineering East China University of Science and Technology Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Chinese Academy of Sciences Key Laboratory for Advance Materials and Feringa Noble Prize Scientist Joint Research Centre Frontiers Science for Materiobiology and Dynamic Chemistry School of Chemistry and Molecular Engineering East China University of Science & Technology

Developing organic room-temperature phosphorescence （RTP） materials with a wide range of tunable-emission is significant in expanding the applications of RTP ***,we rationally designed amphiphilic alternating copolymers poly(1,2-bis（4-alkoxyphenyl）ethane-1,2-dione-alt-（ethylene glycol）x)(P（Bz-alt-EGx）) that combined the advantage of alternating benzil and EGxskeleton,and tunable mainchain *** a mainchain conformation ordering assembly （COA） process,P（Bz-alt-EGx） self-assembled into well-defined platelets,and such assemblies emitted blue RTP at ca.425 nm due to the ordered folded-chain conformation and confined *** contrast,traditional self-assembly （TA） of P（Bz-alt-EGx） obtained less ordered aggregates,such as asymmetric worms,vesicles,and rod-like *** resultant less ordered aggregates exhibited yellow-green RTP at ca.550 *** wide-tuning RTP emission in solution （between blue and yellow-green,over125 nm） is realized using the P（Bz-alt-EGx） alternating copolymers under the treatment of different self-assembly *** study uncovers a new strategy to tailor the RTP emission through different self-assembly pathways and holds great promise for the fabrication of advanced optical materials.

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Review of precipitation strengthening in ultrahigh-strength martensitic steel

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 256-269页

作者： Zhihao tian Chunlei Shang Chaolei Zhang Xiaoye Zhou Honghui Wu Shuize Wang Guilin Wu Junheng gao Jiaming Zhu Xinping Mao Institute for Carbon Neutrality University of Science and Technology BeijingBeijing 100083China Institute of Steel Sustainable Technology Liaoning Academy of MaterialsShenyang 110004China Department of Materials Science and Engineering Shenzhen MSU-BIT UniversityShenzhen 518172China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China School of civil Engineering Shandong UniversityJinan 250061China

Martensite is an important microstructure in ultrahigh-strength steels,and enhancing the strength of martensitic steels often involves the introduction of precipitated phases within the martensitic *** considerable research efforts devoted to this area,a systematic summary of these advancements is *** review focuses on the precipitates prevalent in ultrahigh-strength martensitic steel,primarily carbides(e.g.,MC,M_(2)C,and M_(3)C)and intermetallic compounds(e.g.,Ni Al,Ni_(3)X,and Fe_(2)Mo).The precipitation-strengthening effect of these precipitates on ultrahigh-strength martensitic steel is discussed from the aspects of heat treatment processes,microstructure of precipitate-strengthened martensite matrix,and mechanical ***,a perspective on the development of precipitation-strengthened martensitic steel is presented to contribute to the advancement of ultrahigh-strength martensitic *** review highlights significant findings,ongoing challenges,and opportunities in the development of ultrahigh-strength martensitic steel.

关键词： ultrahigh-strength martensitic steel precipitation strengthening mechanical property carbide intermetallic compound

X-ray flares raising upon magnetar plateau as an implication of a surrounding disk of newborn magnetized neutron star

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Research in Astronomy and Astrophysics 2021年第12期21卷 326-336页

作者： tian-ci Zheng Long Li Le Zou Xiang-gao Wang Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and TechnologyGuangxi UniversityNanning 530004China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China

The X-ray flares have usually been ascribed to long-lasting activities of the central engine of gamma-ray bursts(GRBs),e.g.,fallback *** GRB X-ray plateaus,however,favor a millisecond magnetar central *** fallback accretion can be significantly suppressed due to the propeller effect of a ***,if the propeller regime cannot resist the mass flow onto the surface of the magnetar efficiently,the X-ray flares raising upon the magnetar plateau would be *** this work,such peculiar cases are connected to the accretion process of the magnetars,and an implication for magnetar-disc structure is *** investigate the repeated accretion process with multi-flare GRB 050730,and give a discussion for the accretion-induced variation of the magnetic field in GRB 111209 *** or more flares exhibit in the GRB 050730,060607 A and 140304 A;by adopting magnetar mass M=1.4 M_(⊙)and radius R=12 km,the average mass flow rates of the corresponding surrounding disk are 3.53×10^(-4)M_(⊙)s^(-1).4.23×10^(-4)M_(⊙)s^(-1),and 4.33×10^(-4)M_(⊙)s^(-1),and the corresponding average sizes of the magnetosphere are 5.01×10^(6)cm,6.45 x 10^(-6)cm,and 1.09×10^(-7)cm,respectively.A statistic analysis that contains eight GRBs within 12 flares shows that the total mass loading in single flare is~2×10^(-5)M_(⊙).In the lost mass of a disk,there are about 0.1%used to feed a collimated jet.

关键词： accretion accretion disk stars:magnetars gamma-ray burst:individual(GRB 050730,GRB 111209A)

Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping

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Journal of Energy Chemistry 2025年第1期 565-577页

作者： Shuquan Wang Feng gao Zhan Ma Hao tian Yusen Zhang School of Control Science and Engineering Shandong University Key Lab of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.

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Thermal-flow-electric coupling performance analysis of a liquid-immersed battery thermal management system

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Science China Technological Sciences 2025年第1期 157-176页

作者： Qiang gao Jun tian Chujin BAO Yangfan ZHONG Chengbin ZHANG Yongping CHEN School of Energy and Environment Southeast University Battery Testing Center China North Vehicle Research Institute Zhejiang Immertech Co. Ltd. Alibaba Cloud Computing Co. Ltd.

Ensuring the safety and performance of lithium-ion batteries(LIBs) is a significant challenge for electric *** tackle this issue, an innovative liquid-immersed battery thermal management system(LIBTMS) using bionic baffles with fish-like perforations is developed. The thermal-flow-electric coupling characteristics of LIBTMSs with different baffle structures(no baffle, conventional baffle, baffle with circular perforations and baffle with fish-like perforations) are systematically investigated using experimental and numerical methods. The results indicate that the forced flow scheme exhibits better thermal management performance and voltage equalization than static flow. Moreover, the LIB temperatures and voltage deviations of different LIBTMSs increase quickly with increasing discharge rates. More importantly, the innovative LIBTMS exhibits the best thermoelectric performance due to its excellent thermoelectric equilibrium behavior caused by high electrical and temperature consistency, as well as the best overall performance involving the balance between the pressure loss and heat transfer capacity of the system. Compared with other structures, the innovative LIBTMS using baffles with fish-like perforations exhibits a maximum reduction of 10.1%, 15.2%, 25.8% and 9.0% in LIB maximum temperature, maximum temperature difference, system pressure drop and voltage deviation, respectively, under the same operating ***, for the LIBTMS using baffles with fish-like perforations, the bottom inlet and top outlet configuration and coolant precooling are suggested to enhance cooling performance.

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Palladium-catalyzed asymmetric allylic C–H alkylation of 1,4-dienes and glycine Schiff bases

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Science China Chemistry 2020年第4期63卷 454-459页

作者： tian-ci Wang Pu-Sheng Wang Liu-Zhu Gong Hefei National Laboratory for Physical Sciences at the Microscale and Department of Chemistry University of Science and Technology of ChinaHefei 230026China Center for Excellence in Molecular Synthesis of Chinese Academy of Sciences Hefei 230026China

A highly regio-and enantioselective allylic C–H alkylation of 1,4-dienes with glycine Schiff bases has been established by chiral palladium-phosphoramidite catalysis. This reaction can proceed under mild conditions and tolerate a wide scope of 1,4-dienes,delivering structurally diverse chiral β-branched α-amino acid surrogates in moderate to high yields and with high levels of regio-, Z/E-, diastereo-and enantioselectivities.

关键词： asymmetric catalysis palladium allylic C–H alkylation 1,4-diene glycine Schiff base

Learning to Transform Service Instructions into Actions with Reinforcement Learning and Knowledge Base

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International Journal of Automation and computing 2018年第5期15卷 582-592页

作者： Meng-Yang Zhang Guo-Hui tian ci-ci Li Jing Gong School of Control Science and Engineering Shandong University Shenzhen Research Institute Shandong University

In order to improve the learning ability of robots, we present a reinforcement learning approach with a knowledge base for mapping natural language instructions to executable action sequences. A simulated platform with physical engine is built as interactive environment. Based on the knowledge base, a reward function with immediate rewards and delayed rewards is designed to handle sparse reward problems. Also, a list of object states is produced by retrieving the knowledge base, as a standard to define the quality of action sequences. Experimental results demonstrate that our approach yields good performance on accuracy of action sequences production.

关键词： Natural language robot knowledge base reinforcement learning object state.

Improving meta-learning model via meta-contrastive loss

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Frontiers of Computer Science 2022年第5期16卷 107-113页

作者： Pinzhuo tian Yang gao Department of Computer Science and Technology Nanjing UniversityJiangsu 210023China

Recently,addressing the few-shot learning issue with meta-learning framework achieves great *** we know,regularization is a powerful technique and widely used to improve machine learning ***,rare research focuses on designing appropriate meta-regularizations to further improve the generalization of meta-learning models in few-shot *** this paper,we propose a novel metacontrastive loss that can be regarded as a regularization to fill this *** motivation of our method depends on the thought that the limited data in few-shot learning is just a small part of data sampled from the whole data distribution,and could lead to various bias representations of the whole data because of the different sampling ***,the models trained by a few training data(support set)and test data(query set)might misalign in the model space,making the model learned on the support set can not generalize well on the query *** proposed meta-contrastive loss is designed to align the models of support and query sets to overcome this *** performance of the meta-learning model in few-shot learning can be *** experiments demonstrate that our method can improve the performance of different gradientbased meta-learning models in various learning problems,e.g.,few-shot regression and classification.

关键词： meta-learning few-shot learning metaregularization deep learning

Surface modification of wollastonite by the mechano-activated method and its properties

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International Journal of Minerals,Metallurgy and Materials 2011年第1期18卷 83-88页

作者： Hao Ding Shou-ci Lu gao-xiang Du School of Materials Science and Technology China University of Geosciences Beijing 100083 China School of civil and Environmental Engineering University of Science and Technology Beijing Beijing 100083 China

Surface modification of wollastonite particles using titanate as a modification agent incorporated by simultaneous wet ultra-fine grinding in a laboratory stirred mill was *** physical,physic-chemical and application properties of the modified wollastonite were measured and *** results showed that grinding intensity markedly influences the modification effect because of the mechano chemical *** hydrophilic surface of wollastonite was turned into a hydrophobic one after *** interaction between titanate and wollastonite under wet grinding circumstances was *** was suggested that physical adsorption and chemical adsorption of titanate coexisted on the wollastonite *** mechanical properties of polyethylene（PE） filled with the modified wollastonite powder were markedly improved.

关键词： silicate minerals modification surface properties ball milling fillers