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| 1 | Recent progress on low dimensional perovskite solar cells显示文摘Low dimensional perovskites have recently attracted much attention due to their vertical growth of crystalline orientation, excellent film morphology, and long-term humidity, light, and heat stability. However, low dimensional perovskites suffer from low power conversion efficiency(PCE) with respect to their three dimensional analogues. Therefore, it is imperative to find excellent low-dimensional perovskite materials for improving the PCE. Previous work has demonstrated that bulkier organic molecules,e.g., C_6 H_5(CH_2)_2 NH_3^+(PEA^+), CH_3(CH_2)_3 NH_3^+(n-BA+, iso-BA+), C_2H_4NH_3^+, and polyethylenimine cations(PEI+), play an important role in the formation of low-dimensional perovskites. In this review, we review the recent development of low dimensional perovskites for solar cells application in terms of film preparation, photophysics, and stability of perovskites, as well as the related device structure and physics. We have also discussed the future development of low-dimensional perovskites from materials design, fabrication processes, and device structure. | Lingfeng Chao Ze Wang Yingdong Xia Yonghua Chen Wei Huang | 2018 | Journal of Energy Chemistry2018，27，4： | 3 |
| 2 | An Adaptive Time Delay Estimator Based on ETDE Algorithm with Noisy Measurements显示文摘We address the problem of adaptive time delay estimation with noisy measurements. We develop a computationally efficient adaptive time delay estimator based on Explicit time delay estimation(ETDE) algorithm,by applying the unbiased impulse response estimation approach. In this algorithm, a weighted error function is derived, and the time delay is explicitly parameterized in the filter coefficients and iteratively updated directly by utilizing the modified error function. Simulations validate the performance of the proposed algorithm for colored input and low signal-to-noise ratio scenarios. | XIA Wei JIANG Wenying ZHU Lingfeng | 2017 | Chinese Journal of Electronics2017，26，4： | 3 |
| 3 | Distributed adaptive direct position determination based on diffusion framework显示文摘The conventional direct position determination(DPD) algorithm processes all received signals on a single sensor.When sensors have limited computational capabilities or energy storage,it is desirable to distribute the computation among other sensors.A distributed adaptive DPD(DADPD)algorithm based on diffusion framework is proposed for emitter localization.Unlike the corresponding centralized adaptive DPD(CADPD) algorithm,all but one sensor in the proposed algorithm participate in processing the received signals and estimating the common emitter position,respectively.The computational load and energy consumption on a single sensor in the CADPD algorithm is distributed among other computing sensors in a balanced manner.Exactly the same iterative localization algorithm is carried out in each computing sensor,respectively,and the algorithm in each computing sensor exhibits quite similar convergence behavior.The difference of the localization and tracking performance between the proposed distributed algorithm and the corresponding CADPD algorithm is negligible through simulation evaluations. | Wei Xia Wei Liu Lingfeng Zhu | 2016 | Journal of Systems Engineering and Electronics2016，27，1： | 2 |
| 4 | Origin of High Efficiency and Long-Term Stability in Ionic Liquid Perovskite Photovoltaic显示文摘Environment-friendly protic amine carboxylic acid ionic liquids(ILs)as solvents is a significant breakthrough with respect to traditional highly coordinating and toxic solvents in achieving efficient and stable perovskite solar cells(PSCs)with a simple one-step air processing and without an antisolvent treatment approach.However,it remains mysterious for the improved efficiency and stability of PSCs without any passivation strategy.Here,we unambiguously demonstrate that the three functions of solvents,additive,and passivation are present for protic amine carboxylic acid ILs.We found that the ILs have the capability to dissolve a series of perovskite precursors,induce oriented crystallization,and chemically passivate the grain boundaries.This is attributed to the unique molecular structure of ILs with carbonyl and amine groups,allowing for strong interaction with perovskite precursors by forming C=O…Pb chelate bonds and N-H…I hydrogen bonds in both solution and film.This finding is generic in nature with extension to a wide range of IL-based perovskite optoelectronics. | Lingfeng Chao Tingting Niu Hao Gu Yingguo Yang Qi Wei Yingdong Xia Wei Hui Shouwei Zuo Zhaohua Zhu Chengjie Pei Xiaodong Li Jing Zhang Junfeng Fang Guichuan Xing Hai Li Xiao Huang Xingyu Gao Chenxin Ran Lin Song Li Fu Yonghua Chen Wei Huang | 2020 | Research2020，，1： | 2 |
| 5 | Enhanced strength and toughness of high nitrogen stainless bearing steel by controlling interstitial partitioning via V-microalloying显示文摘High-nitrogen stainless bearing steel(HNSBS)with ultra-high tensile strength(∼2403 MPa)and good toughness(∼80.0 J)was obtained by V-microalloying,overcoming the strength-toughness trade-off of conventional V-free HNSBS.In this work,since V-microalloying facilitated the enrichment of interstitial atoms(C and N)in precipitates,the content of interstitial atoms in the matrix was reduced accordingly(i.e.,interstitial partitioning).On the one hand,V-microalloying reduced the substantial intergranular precipitates and transformed the precipitates from M_(23)C_(6)+M_(2)N into V-containing M_(23)C_(6)+M_(2)N+MN with multi-scale particle sizes,causing a coupling strengthening effect,which contributed to the toughness and additional strength increase.On the other hand,V-microalloying controlled interstitial partitioning,effectively refined coarse retained austenite(RA),increased the fraction of dislocation martensite,and reduced the fraction of twin martensite.The more film-like RA and dislocation martensite with high dislocation density coordinated plastic deformation and prevented crack propagation,thus obviously enhancing the strength and toughness of 0.2 V steel.This study provides a new route to develop high-performance HNSBS for aerospace applications. | Lingfeng Xia Huabing Li Hao Feng Zhouhua Jiang Hongchun Zhu Shucai Zhang Xiaodong Wang | 2023 | Journal of Materials Science & Technology2023，，20： | 1 |
| 6 | Ionic Liquid for Perovskite Solar Cells:An Emerging Solvent Engineering Technology显示文摘CONSPECTUS:Perovskite solar cells(PSCs)have,in recent years,become one of the most in-depth photovoltaic materials in many different disciplines due to their long-range charge carrier diffusion lengths,strong light absorption,easy tuning of the band gaps,low defect density,and solution processability.The power conversion efficiency(PCE)of single-junction PSCs has reached a certified value of 25.5%,which has caught up with or even surpassed traditional photovoltaic technologies,such as silicon(Si)solar cells,thin film solar cell,etc.In addition to the performance of PSCs comparable to traditional photovoltaic technology,its biggest feature is that it can be prepared by a solution method.The preparation process of the solution method simplify the film preparation process and greatly reduce the preparation cost.In addition,the solution method provides a favorable option for the energy supply of flexible wearable devices in the future. | Lingfeng Chao Tingting Niu Yingdong Xia Yonghua Chen Wei Huang | 2021 | Accounts of Materials Research2021，2，11： | 1 |
| 7 | Correction to“Ionic Liquid for Perovskite Solar Cells:An Emerging Solvent Engineering Technology”显示文摘In the TOC and Conspectus graphics,“Perovskite Solar Cell”should be replaced by“Perovskite Solar Cells”and“Lonic liquid”should be replaced by“Ionic Liquid”.The corrected image is provided here. | Lingfeng Chao Tingting Niu Yingdong Xia Yonghua Chen Wei Huang | 2022 | Accounts of Materials Research2022，3，1： | 0 |
| 8 | Chiral cation promoted interfacial charge extraction for efficient tin-based perovskite solar cells显示文摘Pb-free Sn-based perovskite solar cells(PSCs) have recently made inspiring progress, and power conversion efficiency(PCE) of 14.8% has been achieved. However, due to the energy-level mismatch and poor interfacial contact between commonly used hole transport layer(i.e., poly(3,4-ethylenedioxythio phene):poly(styrene sulfonate), PEDOT:PSS) and FASnI_(3) film, it is still challenging to effectively extract holes at the interface. Owing to the p-type nature of Sn-based perovskites, the efficient hole extraction is of particular significance to improve the PCE of their solar cells. In this work, for the first time, the role of chiral cations, a-methylbenzylamine(S-/R-/rac-MBA), in promoting hole transportation of FASnI_(3)-based PSCs is demonstrated. The introduction of MBAs is found to form 2D/3D film with lowdimensional structures locating at PEDOT:PSS/FASnI_(3) interface, which facilitates the energy level alignment and efficient charge transfer at the interface. Importantly, chiral-induced spin selectivity(CISS)effect of R-MBA_(2)SnI_(4)induced by chiral R-MBA cation is found to further assist the specific interfacial transport of accumulated holes. As a result, R-MBA-based PSCs achieve decent PCE of 10.73% with much suppressed hysteresis and enhanced device stability. This work opens up a new strategy to efficiently promote the interfacial extraction of accumulated charges in working PSCs. | Weiyin Gao He Dong Nan Sun Lingfeng Chao Wei Hui Qi Wei Hai Li Yingdong Xia Xingyu Gao Guichuan Xing Zhongbin Wu Lin Song Peter Müller-Buschbaum Chenxin Ran Yonghua Chen | 2022 | Journal of Energy Chemistry2022，31，5： | 0 |
| 9 | How does working from home affect developer productivity?-A case study of Baidu during the COVID-19 pandemic显示文摘Nowadays,working from home(WFH)has become a popular work arrangement due to its many potential benefits for both companies and employees(e.g.,increasing job satisfaction and retention of employees).Many previous studies have investigated the impact of WFH on the productivity of employees.However,most of these studies usually use a qualitative analysis method such as surveys and interviews,and the studied participants do not work from home for a long continuing time.Due to the outbreak of coronavirus disease 2019(COVID-19),a large number of companies asked their employees to work from home,which provides us an opportunity to investigate whether WFH affects their productivity.In this study,to investigate the difference in developer productivity between WFH and working onsite,we conduct a quantitative analysis based on a dataset of developers’daily activities from Baidu Inc.,one of the largest IT companies in China.In total,we collected approximately four thousand records of 139 developers’activities of 138 working days.Out of these records,1103 records are submitted when developers work from home due to the COVID-19 pandemic.We find that WFH has both positive and negative impacts on developer productivity in terms of different metrics,e.g.,the number of builds/commits/code reviews.We also notice that WFH has different impacts on projects with different characteristics including programming language,project type/age/size.For example,WFH has a negative impact on developer productivity for large projects.Additionally,we find that productivity varies for different developers.Based on these findings,we get some feedback from developers of Baidu and understand some reasons why WFH has different impacts on developer productivity.We also conclude several implications for both companies and developers. | Lingfeng BAO Tao LI Xin XIA Kaiyu ZHU Hui LI Xiaohu YANG | 2022 | Science China(Information Sciences)2022，65，4： | 0 |
| 10 | Solution processed nano-ZnMgO interfacial layer for highly efficient inverted perovskite solar cells显示文摘Interfacial layer has a significant impact on the achievement of highly efficient organic–inorganic hybrid perovskite solar cells(PSCs). Here, we introduced a nano-ZnMgO(magnesium doped ZnO, abbreviated as ZnMgO) as interfacial layer between [6, 6]-Phenyl C_(61) butyric acid methyl ester(PC_(61) BM) layer and Al electrode to replace LiF or ZnO interlayer and enhance device performance. The device efficiency has been improved from 11.43% to 15.61% and the hysteresis was decreased dramatically. Such huge enhancement of power convert efficiency(PCE) can be attributed to the low dark current density, enhancement of electron-selective contact, and low energy barrier at the PC_(61) BM/Al interface. We suggest that this simple nano-scale interlayer can provide an efficient charge transport and extraction for highly efficient PSCs. | Ze Wang Yingdong Xia Lingfeng Chao Yufeng Pan Meijin Li Renzhi Li Bin Du Yonghua Chen Wei Huang | 2019 | Journal of Energy Chemistry2019，28，1： | 0 |
| 11 | Waveform Design for Integrated Sensing and Communication Systems Based on Interference Exploitation显示文摘Integrated sensing and communication(ISAC)is a spectrum and energy efficient approach to realizing dual functions by a unified hardware platform.In this paper,we consider a multiple-input multiple-output(MIMO)ISAC system,where the transmitted waveform consisting of communication signals and dedicated sensing signal is optimized for dual purposes of estimating targets and serving downlink single-antenna users.Specifically,the sensing interference and multi-user interference are exploited,rather than suppressed,by the waveform design scheme.The joint waveform design problem is formulated by maximizing the constructive interference(CI)while ensuring the power budget and waveform similarity error with the benchmark signal,which limits the sensing estimation accuracy.To obtain the benchmark signal which achieves the optimal estimation performance,we propose a semidefinite relaxation based algorithm to solve the optimization problem.For clarity,we derive the real representation of the complex joint waveform design problem and prove its convexity.Numerical results verify the superiority of the proposed CI-based waveform design when the interference was efficiently exploited as a useful signal source achieving favorable symbol error ratio performance.Moreover,the dedicated sensing signal provides more degree of freedom for waveform design. | Tian Liu Yinghong Guo Lingfeng Lu Bin Xia | 2022 | Journal of Communications and Information Networks2022，7，4： | 0 |
| 12 | Stable Metal–Halide Perovskite Colloids in Protic Ionic Liquid显示文摘Obtaining long-term stable and robust perovskite colloids solution remains an important scientific challenge due to the limited interaction between solvent and perovskite solutes.Here,we unveil the formation mechanism of chemically robust perovskite precursor solutions under ambient conditions using methylammonium acetate(CH3NH3•CH3COO,MAAc)protic ionic liquid(PIL)solvent.Tens of nanometers colloids are assembled on the molecular level via regular oriented gel-like lamellae with a mean thickness of 34.69 nm,width of 56.81 nm,and distance of 91.05 nm. | Hao Gu Tingting Niu Shouwei Zuo Yongqing Cai Lingfeng Chao Peter Müller-Buschbaum Yingdong Xia Jing Zhang Guichuan Xing Yonghua Chen | 2022 | CCS Chemistry2022，4，10： | 0 |
| 13 | Commutation Failure Mitigation Method Based on Imaginary Commutation Process显示文摘The commutation failure(CF) mitigation effectiveness is normally restricted by the delay of extinction angle(EA)measurement or the errors of existing prediction methods for EA or firing angle(FA). For this purpose, this paper proposes a CF mitigation method based on the imaginary commutation process. For each sample point, an imaginary commutation process is constructed to simulate the actual commutation process.Then, the imaginary EA is calculated by comparing the imaginary supply voltage-time area and the imaginary demand voltage-time area, which can update the imaginary EA earlier than the measured EA. In addition, the proposed method considers the impacts of commutation voltage variation, DC current variation, and phase angle shift of commutation voltage on the commutation process, which can ensure a more accurate EA calculation. Moreover, the DC current prediction is proposed to improve the CF mitigation performance under the single-phase AC faults. Finally, the simulation results based on CIGRE model prove that the proposed method has a good performance in CF mitigation. | Renlong Zhu Xiaoping Zhou Haitao Xia Lerong Hong Hanhang Yin Lingfeng Deng Yifeng Liu | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，5： | 0 |
| 14 | Review of construction methods for whole-cell computational models显示文摘The complex mechanisms of the internal operation of cellular functions have not been fully resolved and these functions are regulated by multiple effects,such as transcription regulation,signal transduction,and enzyme catalysis,forming complex interactive mechanisms.This makes the construction of a whole-cell computational model,containing various complex cellular functions,very challenging.However,biological models have played a significant role in the field of systems biology,such as guiding gene-target mining and studying cell metabolic characteristics.Therefore,there is increasing research interest in the construction of whole-cell computational models.Combining two classical languages of systems biology,this review expounds on the development and challenges of whole-cell computational modeling from the two classical methods of steady-state and dynamic modeling.Finally,we propose a new approach for constructing whole-cell computational models. | Jingru Zhou Xingcun Fan Lingfeng Cao Huijie Sun Jianye Xia XueFeng Yan | 2022 | Systems Microbiology and Biomanufacturing2022，2，2： | 0 |
| 15 | Automated Android application permission recommendation显示文摘The number of Android applications has increased rapidly as Android is becoming the dominant platform in the smartphone market. Security and privacy are key factors for an Android application to be successful. Android provides a permission mechanism to ensure security and privacy. This permission mechanism requires that developers declare the sensitive resources required by their applications. On installation or during runtime, users are required to agree with the permission request. However, in practice, there are numerous popular permission misuses, despite Android introducing official documents stating how to use these permissions properly. Some data mining techniques(e.g., association rule mining) have been proposed to help better recommend permissions required by an API. In this paper, based on popular techniques used to build recommendation systems, we propose two novel approaches to improve the effectiveness of the prior work. The first approach utilizes a collaborative filtering technique, which is inspired by the intuition that apps that have similar features — inferred from their APIs — usually share similar permissions. The second approach recommends permissions based on a text mining technique that uses a naive Bayes multinomial classification algorithm to build a prediction model by analyzing descriptions of apps. To evaluate these two approaches, we use 936 Android apps from F-Droid, which is a repository of free and open source Android applications. We find that our proposed approaches yield a significant improvement in terms of precision, recall, F1-score, and MAP of the top-k results over the baseline approach. | Lingfeng BAO David LO Xin XIA Shanping LI | 2017 | Science China(Information Sciences)2017，60，9： | 0 |
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