Zongtao Liu

Sun Yat-sen University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Hui Shen

Shanghai Institute of Technology

Zongcun Liang

Sun Yat-sen University

Wenjie Lin

École Polytechnique Fédérale de Lausanne

Weiliang Wu

Beijing Solar Energy Research Institute

Lun Cai

Sun Yat-sen University

Jie Bao

Sun Yat-sen University

Zhirong Yao

Delft University of Technology

Zhiming Chen

Fujian Electric Power Survey & Design Institute

Kaifu Qiu

Beijing Solar Energy Research Institute

Yifeng Chen

Harbin Institute of Technology

Cooperative Institutions

Sun Yat-sen University

Solar Energy Research Institute of Sun Yat-sen University

Chinese Academy of Sciences

Harvard University

Brigham and Women's Hospital

Massachusetts Institute of Technology

Zhejiang University

École Polytechnique Fédérale de Lausanne

Tecnológico de Monterrey

Jiangsu University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Multilayer MoOx/Ag/MoOx emitters in dopant-free silicon solar cells

Materials Letters (2016)

Weiliang Wu Jie Bao Zongtao Liu Wenjie Lin Xiao Yu

Open-circuit voltage

10.1016/j.matlet.2016.11.059

Cite

Citations (39)

Degradation Mechanism and Stability Improvement of Dopant-Free ZnO/LiF_x/Al Electron Nanocontacts in Silicon Heterojunction Solar Cells

ACS Applied Nano Materials (2020)

Wenjie Lin Mathieu Boccard Sihua Zhong Vincent Paratte Quentin Jeangros

Dopant-free passivating contacts for photovoltaics have the potential to be deposited at low costs while providing excellent surface passivation and low contact resistance. However, one pressing issue of dopant-free carrier selective contacts is their lower environmental stability compared to conventional silicon-based contacts. In this contribution, we study the degradation in the ZnO/LiFx/Al electron selective nanocontact with experiments and simulations and suggest design modifications for higher performance and stability. Using a thicker metallization and optimal ZnO deposition temperature (130 °C), we improved open-circuit voltage and fill factor, together with improved stability with retention of over 93 and 88% of the initial open-circuit voltage and fill factor after storage in air for 380 h. The champion device has reached an efficiency of 21.3% with VOC of 727 mV, JSC of 37.6 mA/cm2, and FF of 78.0%. Furthermore, the enhanced stability in vacuum, scanning transmission electron microscopy (STEM) images, and the current-exchange simulation suggests that the degradation of the a-Si:H(i)/ZnO/LiFx/Al contact is caused by a drop of the LiFx/Al work function, due to interaction with air. This work has developed a deep understanding of the degradation mechanism and the methodology of stability analysis for dopant-free silicon solar cells.

Passivation

Contact resistance

Open-circuit voltage

Degradation

10.1021/acsanm.0c02475

Cite

Citations (27)

Research and design on Transmission Power Network Maintenance Plan Arrangement algorithm

Xianglin Miao Dezhong Wang Hongyu Liu Zongtao Liu

This paper proposes mathematical model of Transmission Power Network Maintenance Plan Arrangement algorithm, and designs Transmission Power Network Maintenance Plan Arrangement on Ant Colony algorithm, which is TPNMPAAC algorithm for short. The paper analyzes the constraints existing in TPNMPAAC algorithm, and presents information element renewal strategy at the time the wrong search path occurs as well as computational method of heuristic function value.

Power transmission

Power network

Algorithm design

Transmission network

10.1109/icise.2010.5690833

Cite

Citations (0)

Biodegradable Inorganic–Organic POSS–PEG Hybrid Hydrogels as Scaffolds for Tissue Engineering

Macromolecular Materials and Engineering (2017)

Jingjing Yu Zongtao Liu Jinrui Shen Cuifen Lu Xingjian Hu

Abstract Biodegradable hydrogels have attracted much attention in tissue engineering due to their good biocompatibility and elastomeric behavior. In this work, a series of inorganic–organic polyhedral oligomeric silsequioxanes–poly(ethylene glycol) (POSS–PEG) hybrid hydrogels are prepared by covalently grafting POSS into PEG and further cross‐linked by matrix metalloproteinase (MMP) degradable peptide via Michael‐type addition polymerization. All the POSS–PEG hybrid hydrogels have a porous structure and high hydrophilic ability, and the grafted hydrophobic POSS macromers result in a higher mechanical properties and lower equilibrium swelling ratio. Additionally, the hydrogels can be biodegraded by MMP‐2 solution and the POSS loading level can influence the degradation rate. It is worth mentioning that POSS‐containing hybrid hydrogels can be prepared in water and be used for 3D cell culture. In vitro cell viability study on human umbilical vein endothelial cells for 3D cell culture indicates POSS–PEG hydrogels have good compatibility. All of these results suggest that these POSS–PEG hybrid hydrogels exhibit the potential for tissue engineering scaffolds.

Biocompatibility

10.1002/mame.201700142

Cite

Citations (22)

Modeling Combinatorial Evolution in Time Series Prediction.

arXiv (Cornell University) (2019)

Wenjie Hu Yang Yang Zilong You Zongtao Liu Xiang Ren

Time series modeling aims to capture the intrinsic factors underpinning observed data and its evolution. However, most existing studies ignore the evolutionary relations among these factors, which are what cause the combinatorial evolution of a given time series. In this paper, we propose to represent time-varying relations among intrinsic factors of time series data by means of an evolutionary state graph structure. Accordingly, we propose the Evolutionary Graph Recurrent Networks (EGRN) to learn representations of these factors, along with the given time series, using a graph neural network framework. The learned representations can then be applied to time series classification tasks. From our experiment results, based on six real-world datasets, it can be seen that our approach clearly outperforms ten state-of-the-art baseline methods (e.g. +5% in terms of accuracy, and +15% in terms of F1 on average). In addition, we demonstrate that due to the graph structure's improved interpretability, our method is also able to explain the logical causes of the predicted events.

Interpretability

Baseline (sea)

Source

Cite

Citations (1)

PARAMETER OPTIMIZATION OF DUST-COLLECTING AND DEDUSTING SYSTEM WITH AIR CURTAIN IN HEADING FACE

Environmental Engineering and Management Journal (2022)

Qiuping Bi Yucheng Li Zongtao Liu

Coal dust is a serious hazard for the global coal mining industry.The dust-collecting and dedusting system with an air curtain has been developed to solve the problems of dust control in a mine tunnel.One of the important factors that contribute to the limited performance of a dust-collecting and dedusting system with an air curtain in practice is the design parameters.In this paper, the optimization study was conducted to explore dust-isolating efficiency and find better design parameters.Meanwhile, to overcome the problem of low wind pressure at the jet outlet, a modified structure was used.The result indicated that the wind velocity attenuation amplitude was larger within 1 m from the jet outlet and the wind attenuation amplitude was smaller and faster with 1m~1.5m from the jet outlet.Furthermore, the dust-isolating efficiency is the most obvious when the nozzle exit width is between 10.575 mm and 11.802 mm.The results of this study would play a guiding role on the structural optimization of dust-collecting and dedusting system with air curtain.

10.30638/eemj.2022.039

Cite

Citations (1)

Novel hole selective CrOx contact for dopant-free back contact silicon solar cells

Materials Research Bulletin (2018)

Wenjie Lin Weiliang Wu Jie Bao Zongtao Liu Kaifu Qiu

10.1016/j.materresbull.2018.03.032

Cite

Citations (26)

Robust Network Enhancement from Flawed Networks

IEEE Transactions on Knowledge and Data Engineering (2020)

Jiarong Xu Yang Yang Chunping Wang Zongtao Liu Jing Zhang

Network data in real-world tends to be error-prone. In this paper, we aim to reconstruct a reliable network from a fiawed, undirected, unweighted network, a process referred to network enhancement. More specifically, network enhancement aims to detect the noisy links that are observed in the network but should not exist in the real world, as well as to predict the missing links that do indeed exist in the real world yet remain unobserved. While some attempts have been made to detect either noisy links or missing links, few of these works have considered unifying these two tasks, even though they are inter-dependent and capable of mutually boosting each others’ performance. In this paper, we therefore propose E-Net, an end-toend graph neural network model, to leverage the mutual influence of these two tasks in order to achieve both goals more effectively. On one hand, detecting noisy links can benefit the performance of missing link prediction, while on the other hand, predicting missing links can provide indirect supervision for detecting noisy link detection when the labels of these noisy links are unavailable. The experimental results demonstrate the significance of our proposed model in missing link prediction and noisy link detection task.

Leverage (statistics)

Boosting

Noisy data

Link (geometry)

Robustness

10.1109/tkde.2020.3025147

Cite

Citations (16)

Effects of Adjusting Nickel Pulse Count on NiOx Films Prepared by Atomic Layer Deposition

Physical Chemistry Chemical Physics (2024)

Xuanfei Kuang Zongtao Liu Yang Hong Yongjuan Chen Xiao Yao

Investigation of the effect of varying nickel pulse numbers in atomic layer deposition (ALD) on the performance of prepared NiO x thin films.

Deposition

Layer by layer

Non-blocking I/O

10.1039/d4cp03553d

Cite

Citations (0)

Boosting Graph Search with Attention Network for Solving the General Orienteering Problem

arXiv (Cornell University) (2021)

Zongtao Liu Jing Xu Jintao Su Tao Xiao Yang Yang

Recently, several studies have explored the use of neural network to solve different routing problems, which is an auspicious direction. These studies usually design an encoder-decoder based framework that uses encoder embeddings of nodes and the problem-specific context to produce node sequence(path), and further optimize the produced result on top by beam search. However, existing models can only support node coordinates as input, ignore the self-referential property of the studied routing problems, and lack the consideration about the low reliability in the initial stage of node selection, thus are hard to be applied in real-world. In this paper, we take the orienteering problem as an example to tackle these limitations. We propose a novel combination of a variant beam search algorithm and a learned heuristic for solving the general orienteering problem. We acquire the heuristic with an attention network that takes the distances among nodes as input, and learn it via a reinforcement learning framework. The empirical studies show that our method can surpass a wide range of baselines and achieve results close to the optimal or highly specialized approach. Also, our proposed framework can be easily applied to other routing problems. Our code is publicly available.

Orienteering

Vehicle Routing Problem

10.48550/arxiv.2109.04730

Cite

Citations (1)