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Solid Additive-Assisted Layer-by-Layer Processing for 19%Efficiency Binary Organic Solar Cells

Nano-Micro Letters 2023年第7期15卷 16-29页

作者： Guanyu Ding Tianyi Chen Mengting Wang Xinxin Xia chengliang he Xiangjun Zheng Yaokai Li Di Zhou Xinhui Lu Lijian Zuo Zhikang Xu Hongzheng Chen State Key Laboratory of Silicon Materials Department of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027People’s Republic of China Department of Physics The Chinese University of Hong KongNew TerritoriesHong Kong 999077People’s Republic of China Zhejiang University-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 310014People’s Republic of China MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027People’s Republic of China Key Laboratory of Adsorption and Separation Materials and Technologies of Zhejiang Province Zhejiang UniversityHangzhou 310027People’s Republic of China

Morphology is of great significance to the performance of organic solar cells(OSCs),since appropriate morphology could not only promote the exciton dissociation,but also reduce the charge recombination.In this work,we have developed a solid additive-assisted layer-by-layer(SAA-LBL)processing to fabricate high-efficiency OSCs.By adding the solid additive of fatty acid(FA)into polymer donor PM6 solution,controllable pre-phase separation forms between PM6 and FA.This intermixed morphology facilitates the diffusion of acceptor Y6 into the donor PM6 during the LBL processing,due to the good miscibility and fast-solvation of the FA with chloroform solution dripping.Interestingly,this results in the desired morphology with refined phase-separated domain and vertical phase-separation structure to better balance the charge transport/collection and exciton dissociation.Consequently,the binary single junction OSCs based on PM6:Y6 blend reach champion power conversion efficiency(PCE)of 18.16%with SAA-LBL processing,which can be generally applicable to diverse systems,e.g.,the PM6:L8-BO-based devices and thick-film devices.The efficacy of SAA-LBL is confirmed in binary OSCs based on PM6:L8-BO,where record PCEs of 19.02%and 16.44%are realized for devices with 100 and 250 nm active layers,respectively.The work provides a simple but effective way to control the morphology for high-efficiency OSCs and demonstrates the SAA-LBL processing a promising methodology for boosting the industrial manufacturing of OSCs.

关键词： Organic solar cells Fatty acid Solid additive Layer-by-layer Vertical phase separation

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Design of Non-fused Ring Acceptors toward High-Performance,Stable,and Low-Cost Organic Photovoltaics

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Accounts of Materials Research 2022年第6期3卷 644-657页

作者： Qing Shen chengliang he Shuixing Li Lijian Zuo Minmin Shi Hongzheng Chen State Key Laboratory of Silicon Materials MOE Key Laboratory of Macromolecular Synthesis and FunctionalizationInternational Research Center for X PolymersDepartment of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027P.R.China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Hangzhou 310027P.R.China

Toward future commercial applications of organic solar cells(OSCs),organic photovoltaic materials that enable high efficiency,excellent stability,and low cost should be developed.Fused-ring electron acceptors(FREAs)have declared that OSCs are capable of showing efficiencies over 19%,whereas stability and cost are not solved yet.As the counterparts of FREAs,non-fused ring electron acceptors(NFREAs)are more flexible in molecular design.They have better stability because of the reduction of intramolecular tension via breaking fused backbone and have more advantages in cost with the reduction of synthetic complexity.However,the challenge for NFREAs is the relatively lower efficiencies(around 15%at current stage),which require better molecular designs for addressing the issues of conformational unicity and effective molecular packing.In this Account,we comprehensively summarize works about NFREAs carried out in our group from three main frameworks,including molecular design and efficiency optimization,material cost,and stability.First,in the part of molecular design and efficiency optimization,the existing rotatable single bond in NFREAs will bring the problem of conformational uncertainty,but it can be solved through proper molecular design,which also regulates the energy levels,light absorption range,and the packing mode of the molecule for obtaining higher performance.Thus,in this part,we discuss the evolution of NFREAs in three aspects,including molecular skeleton optimization,terminal modification,and side chain engineering.Many strategies are used in the design of a molecular skeleton,such as utilizing the quinoid effect,introducing functional groups with the electron push−pulling effect,and using multiple conformational lock.Furthermore,simplifying the skeleton is also the preferred development tendency.As for the terminal,the main modification strategy is adjusting the conjugation length and halogen atoms.What is more,by adjusting the side chain to induce appropriate steric hindrance,we can fix the orientation

关键词： stability fused stability

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High-efficiency organic solar cells with low voltage-loss of 0.46 V

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Chinese Chemical Letters 2020年第7期31卷 1991-1996页

作者： Zhi-Peng Yu Xue Li chengliang he Di Wang Ran Qin Guanqing Zhou Zhi-Xi Liu Thomas Rieks Andersen Haiming Zhu Hongzheng Chen Chang-Zhi Li MOE Key Laboratory of Macromolecular Synthesis and Functionalization State Key Laboratory of Silicon MaterialsDepartment of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027China Department of Chemistry Zhejiang UniversityHangzhou 310027China

The recent evolution of active components yielded brilliant progresses for organic solar cells(OSCs),yet the mechanism is needed to be clearly understood.In this wo rk,two electron acceptors,a linear SN6-2Br and a V-shaped BTP-2Br,are developed with nitrogen atoms introduced to replace the traditional sp3-hybridized carbon in the fused ring.BTP-2Br possesses an electron-de ficient central core,which exhibits slightly blue-shifted absorption as well as deepened HOMO-level compared with SN6-2Br.The corresponding photovoltaic performance from V-shaped BTP-2Br based devices exhibit superior performance especially in short-circuit current(Jsc),despite an enhanced absorption and charge carrier mobilities for SN6-2Br.The primary reason for the higher JSC from BTP-2Br is faster exciton diffusion and dissociation in ble nds,than those of SN6-2Br.As a result,PBDB-TF:BTP-2Br based devices achieve a power conversion efficiency(PCE)of 13.84%with an voltage-loss of only 0.46 V,which is one of the lowest values ever reported.Moreover,we fabricated semitransparent OSCs that exhibit an excellent PCE of 9.62%with average visible transparency of 20.1%.

关键词： Organic solar cells High efficiency Low voltage-loss Semitransparent OSCs Electron-defficient central core

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A novel interpretable multilevel wavelet decomposition deep network for actual heartbeat classification

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Science China(Technological Sciences) 2024年第6期67卷 1842-1854页

作者： JIN YanRui LI ZhiYuan TIAN YuanYuan WEI XiaoYang LIU chengliang School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai200240China

Arrhythmias may lead to sudden cardiac death if not detected and treated in time.A supraventricular premature beat(SPB)and premature ventricular contraction(PVC)are important categories of arrhythmia disease.Recently,deep learning methods have been applied to the PVC/SPB heartbeats detection.However,most researchers have focused on time-domain information of the electrocardiogram and there has been a lack of exploration of the interpretability of the model.In this study,we design an interpretable and accurate PVC/SPB recognition algorithm,called the interpretable multilevel wavelet decomposition deep network(IMWDDN).Wavelet decomposition is introduced into the deep network and the squeeze and excitation(SE)-Residual block is designed for extracting time-domain and frequency-domain features.Additionally,inspired by the idea of residual learning,we construct a novel loss function for the constant updating of the multilevel wavelet decomposition parameters.Finally,the IMWDDN is evaluated on the Third China Physiological Signal Challenge Dataset and the MIT-BIH Arrhythmia database.The comparison results show IMWDDN has better detection performance with 98.51%accuracy and a 93.75%F1-macro on average,and its areas of concern are similar to those of an expert diagnosis to a certain extent.Generally,the IMWDDN has good application value in the clinical screening of PVC/SPB heartbeats.

关键词： actual heartbeat classification electrocardiogram interpretable deep network multilevel discrete wavelet decomposition layer SE-Residual block

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Coherence phase spectrum analyzer for a randomly fluctuated fractional vortex beam

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Photonics Research 2024年第1期12卷 33-39页

作者： ZHUOYI WANG XINGYUAN LU JIANBO GAO XUECHUN ZHAO QIWEN ZHAN YANGJIAN CAI chengliang ZHAO School of Physical Science and Technology Soochow UniversitySuzhou 215006China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Shandong Provincial Engineering and Technical Center of Light Manipulations&Shandong Provincial Key Laboratory of Optics and Photonic Device School of Physics and ElectronicsShandong Normal UniversityJinan 250358China Shandong Joint Research Center of Light Manipulation Science and Photonics Integrated Chip of East China Normal University and Shandong Normal University East China Normal UniversityShanghai 200241China

Fractional vortex beams exhibit a higher degree of modulation dimensions than conventional vortices,thus inheriting superior anti-turbulent transmission properties through the incorporation of additional coherence modulation.However,aliasing the mixed modes induced by coherence degradation makes the quantitative measurement of the topological charge in fractional vortex beams challenging.In this study,a coherence phase spectrum was introduced,and experimental demonstrations to quantitatively determine the fractional topological charge of partially coherent fractional vortex beams were performed.By leveraging the four-dimensional measurement of a partially coherent light field,the source coherence function was inversely reconstructed,and fractional topological charges were determined with high precision by extracting the phase spectrum of the coherence function.Laguerre–Gaussian,elliptical Gaussian,and plane-wave-fraction vortex beams with various degrees of coherence were used to demonstrate measurement precision.The proposed method is applicable to X-rays and electron vortices.It has potential applications in optical encryption,high-capacity optical communication,and quantum entanglement.

关键词： function fractional vortex

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Structural Isomers:Small Change with Big Difference in Anion Storage

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Nano-Micro Letters 2024年第1期16卷 222-234页

作者： Huichao Dai Yuan Chen Yueyue Cao Manli Fu Linnan Guan Guoqun Zhang Lei Gong Mi Tang Kun Fan chengliang Wang School of Integrated Circuits Wuhan National Laboratory for Optoelectronics(WNLO)Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Wenzhou Advanced Manufacturing Institute Huazhong University of Science and TechnologyWenzhou 325035People’s Republic of China Hubei Key Laboratory of Polymer Materials School of Materials Science and EngineeringHubei UniversityWuhan 430062People’s Republic of China School of Chemistry and Environmental Engineering Wuhan Institute of TechnologyWuhan 430073People’s Republic of China

Organic electrode materials are promising for batteries.However,the reported organic electrodes are often facing the challenges of low specific capacity,low voltage,poor rate capability and vague charge storage mechanisms,etc.Isomers are good platform to investigate the charge storage mechanisms and enhance the performance of batteries,which,however,have not been focused in batteries.herein,two isomers are reported for batteries.As a result,the isomer tetrathiafulvalene(TTF)could store two monovalent anions reversibly,deriving an average discharge voltage of 1.05 V and a specific capacity of 220 mAh g−1 at a current density of 2 C.On the other hand,the other isomer tetrathianaphthalene could only reversibly store one monovalent anion and upon further oxidation,it would undergo an irreversible solid-state molecular rearrangement to TTF.The molecular rearrangement was confirmed by electrochemical performances,X-ray diffraction patterns,nuclear magnetic resonance spectra,and 1H detected heteronuclear multiple bond correlation spectra.These results suggested the small structural change could lead to a big difference in anion storage,and we hope this work will stimulate more attention to the structural design for boosting the performance of organic batteries.

关键词： Zinc-organic batteries Isomers Solid-state molecular rearrangement Anion storage P-type organic electrode materials

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An improved transfer learning strategy for short-term cross-building energy prediction usingdata incremental

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Building Simulation 2024年第1期17卷 165-183页

作者： Guannan Li Yubei Wu Chengchu Yan Xi Fang Tao Li Jiajia Gao chengliang Xu Zixi Wang School of Urban Construction Wuhan University of Science and TechnologyWuhan 430065China Anhui Province Key Laboratory of Intelligent Building and Building Energy-saving Anhui Jianzhu UniversityHefei 230601China State Key Laboratory of Green Building in Western China Xi'an University of Architecture and TechnologyXi'an 710055China College of Urban Construction Nanjing Tech UniversityNo.200North Zhongshan RoadNanjing 210009China Key Laboratory of Low-grade Energy Utilization Technologies and Systems(Chongqing University) Ministry of Education of ChinaChongqing UniversityChongqing 400044China College of Civil Engineering Hunan UniversityChangsha 410082China Hubei Provincial Engineering Research Center of Urban Regeneration Wuhan University of Science and TechnologyWuhan 430065China

The available modelling data shortage issue makes it difficult to guarantee the performance of data-driven building energy prediction(BEP)models for both the newly built buildings and existing information-poor buildings.Both knowledge transfer learning(KTL)and data incremental learning(DIL)can address the data shortage issue of such buildings.For new building scenarios with continuous data accumulation,the performance of BEP models has not been fully investigated considering the data accumulation dynamics.DIL,which can learn dynamic features from accumulated data adapting to the developing trend of new building time-series data and extend BEP model's knowledge,has been rarely studied.Previous studies have shown that the performance of KTL models trained with fixed data can be further improved in scenarios with dynamically changing data.hence,this study proposes an improved transfer learning cross-BEP strategy continuously updated using the coarse data incremental(CDI)manner.The hybrid KTL-DIL strategy(LSTM-DANN-CDI)uses domain adversarial neural network(DANN)for KLT and long short-term memory(LSTM)as the Baseline BEP model.Performance evaluation is conducted to systematically qualify the effectiveness and applicability of KTL and improved KTL-DIL.Real-world data from six-type 36 buildings of six types are adopted to evaluate the performance of KTL and KTL-DIL in data-driven BEP tasks considering factors like the model increment time interval,the available target and source building data volumes.Compared with LSTM,results indicate that KTL(LSTM-DANN)and the proposed KTL-DIL(LSTM-DANN-CDI)can significantly improve the BEP performance for new buildings with limited data.Compared with the pure KTL strategy LSTM-DANN,the improved KTL-DIL strategy LSTM-DANN-CDI has better prediction performance with an average performance improvement ratio of 60%.

关键词： building energy prediction(BEP) cross-building data incremental learning(DIL) domain adversarial neural network(DANN) knowledge transfer learning(KTL)

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A novel lightweight computerized ECG interpretation approach based on clinical 12-lead data

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Science China(Technological Sciences) 2024年第2期67卷 449-463页

作者： LIU YunQing QIN ChengJin LIU JinLei JIN YanRui LI ZhiYuan ZHAO LiQun LIU chengliang School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Key Labof Artificial Intelligence(Ministryof Education) AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Cardiology Shanghai First Peoples Hospital Affiliated to Shanghai Jiao Tong UniversityShanghai 200080China

Although 12-lead electrocardiograms(ECGs)provide a wide range of spatiotemporal characteristics,interpreting them for arrhythmia detection is difficult due to a lack of reliable large-scale clinical datasets.herein,we proposed an innovative lightweight computerized ECG interpretation approach based on 12-lead data.Our model was trained,validated,and tested on 53845 standard 12-lead ECG records collected at Shanghai First People’s Hospital in affiliation with Shanghai Jiao Tong University.The experiments revealed that our approach had a classification accuracy of 94.41%in the classification task of seven types of rhythms,which was markedly superior to related single-lead and 12-lead ECG classification methods.Moreover,the average receiver operating characteristic area under the curve reached a value of 0.940,and the precision values for sinus tachycardia and sinus bradycardia were 0.945 and 0.91,respectively,with specificity values of 0.996 and 0.994.By employing our boosting method,we were able to improve the accuracy to 94.85%.To investigate the performance degradation of the proposed neural network in some classes,an ECG cardiologist was enlisted to review questionable ECGs;this process provides a promising direction for network performance improvement.Therefore,the proposed computerized ECG interpretation approach has practical significance because it could help professional physicians analyze patients’heart conditions based on real-time 12-lead ECG or grade their disease severity in advance.

关键词： computerized ECG interpretation large-scale 12-lead clinical ECG database lightweight neural network

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Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 518-529页

作者： Lianyong Zuo Shengshi Wang Yong Sun Shichang Cui Jiakun Fang Xiaomeng Ai Baoju Li chengliang Hao Jinyu Wen State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430073China State Grid Jilin Electric Power Company Changchun 130021China

Fossil fuel depletion and environmental pollution problems promote development of renewable energy(RE)glob-ally.With increasing penetration of RE,operation security and economy of power systems(PS)are greatly impacted by fluctuation and intermittence of renewable power.In this paper,information gap decision theory(IGDT)is adapted to handle uncertainty of wind power generation.Based on conventional IGDT method,linear regulation strategy(LRS)and robust linear optimization(RLO)method are integrated to reformulate the model for rigorously considering security constraints.Then a robustness assessment method based on hybrid RLO-IGDT approach is proposed for analyzing robustness and economic performance of PS.Moreover,a risk-averse linearization method is adapted to convert the proposed assessment model into a mixed integer linear programming(MILP)problem for convenient optimization without robustness loss.Finally,results of case studies validate superiority of proposed method in guaranteeing operation security rigorously and effectiveness in assessment of RSR for PS without overestimation.Index Terms-Hybrid RLO-IGDT approach,information gap decision theory(IGDT),operation security,robustness assessment,robustness security region(RSR).

关键词： IGDT approach information gap decision theory(IGDT) operation security robustness assessment robustness security region(RSR)

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Single-shot phase retrieval for randomly fluctuated and obstructed vortex beams

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Science China(Physics,Mechanics & Astronomy) 2024年第4期67卷 72-80页

作者： Hao Zhang Jun’an Zhu Xingyuan Lu Zhiquan Hu Jianbo Gao Kun Liu Qiwen Zhan Yangjian Cai chengliang Zhao School of Physical Science and Technology Soochow UniversitySuzhou 215006China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Shandong Provincial Engineering and Technical Center of Light Manipulations Shandong Provincial Key Laboratory of Optics and Photonic DeviceSchool of Physics and ElectronicsShandong Normal UniversityJinan 250358China Joint Research Center of Light Manipulation Science and Photonic Integrated Chip of East China Normal University and Shandong Normal University East China Normal UniversityShanghai 200241China

Vortex beams with orbital angular momentum play a crucial role in increasing the information capacity in optical communications.The magnitude of orbital angular momentum determines the ability of information encoding.In practice,a vortex beam can encounter random objects or turbulence during free-space propagation,resulting in information damage.Therefore,accurately measuring the orbital angular momentum of a randomly fluctuated and obstructed vortex beam is a considerable challenge.herein,we propose a single-shot method for the phase retrieval of a randomly fluctuated and obstructed vortex beam by combining the phase-shift theorem and self-reference holography.Experimental results reveal that the sign and magnitude of the initial orbital angular momentum can be simultaneously determined based on their quantitative relation with the number of coherence singularities on the observation plane,thus addressing the effects of random occlusion and atmospheric turbulence.The proposed method considerably improved the accurate decoding of orbital angular momentum information in nonideal freespace optical communications.

关键词： optical vortex phase retrieve orbital angular momentum measurement antiturbulence antidisturbance

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