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Dive into the research topics where Cheng Lian is active.

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Featured researches published by Cheng Lian.


Advanced Science | 2017

Computational Insights into Materials and Interfaces for Capacitive Energy Storage

Cheng Zhan; Cheng Lian; Yu Zhang; Matthew W. Thompson; Yu Xie; Jianzhong Wu; Paul R. C. Kent; Peter T. Cummings; De-en Jiang; David J. Wesolowski

Supercapacitors such as electric double‐layer capacitors (EDLCs) and pseudocapacitors are becoming increasingly important in the field of electrical energy storage. Theoretical study of energy storage in EDLCs focuses on solving for the electric double‐layer structure in different electrode geometries and electrolyte components, which can be achieved by molecular simulations such as classical molecular dynamics (MD), classical density functional theory (classical DFT), and Monte‐Carlo (MC) methods. In recent years, combining first‐principles and classical simulations to investigate the carbon‐based EDLCs has shed light on the importance of quantum capacitance in graphene‐like 2D systems. More recently, the development of joint density functional theory (JDFT) enables self‐consistent electronic‐structure calculation for an electrode being solvated by an electrolyte. In contrast with the large amount of theoretical and computational effort on EDLCs, theoretical understanding of pseudocapacitance is very limited. In this review, we first introduce popular modeling methods and then focus on several important aspects of EDLCs including nanoconfinement, quantum capacitance, dielectric screening, and novel 2D electrode design; we also briefly touch upon pseudocapactive mechanism in RuO2. We summarize and conclude with an outlook for the future of materials simulation and design for capacitive energy storage.


Journal of Physics: Condensed Matter | 2016

Can ionophobic nanopores enhance the energy storage capacity of electric-double-layer capacitors containing nonaqueous electrolytes?*

Cheng Lian; Honglai Liu; Douglas Henderson; Jianzhong Wu

The ionophobicity effect of nanoporous electrodes on the capacitance and the energy storage capacity of nonaqueous-electrolyte supercapacitors is studied by means of the classical density functional theory (DFT). It has been hypothesized that ionophobic nanopores may create obstacles in charging, but they store energy much more efficiently than ionophilic pores. In this study, we find that, for both ionic liquids and organic electrolytes, an ionophobic pore exhibits a charging behavior different from that of an ionophilic pore, and that the capacitance-voltage curve changes from a bell shape to a two-hump camel shape when the pore ionophobicity increases. For electric-double-layer capacitors containing organic electrolytes, an increase in the ionophobicity of the nanopores leads to a higher capacity for energy storage. Without taking into account the effects of background screening, the DFT predicts that an ionophobic pore containing an ionic liquid does not enhance the supercapacitor performance within the practical voltage ranges. However, by using an effective dielectric constant to account for ion polarizability, the DFT predicts that, like an organic electrolyte, an ionophobic pore with an ionic liquid is also able to increase the energy stored when the electrode voltage is beyond a certain value. We find that the critical voltage for an enhanced capacitance in an ionic liquid is larger than that in an organic electrolyte. Our theoretical predictions provide further understanding of how chemical modification of porous electrodes affects the performance of supercapacitors.


Journal of Physics: Condensed Matter | 2016

On the hydrophilicity of electrodes for capacitive energy extraction.

Cheng Lian; Xian Kong; Honglai Liu; Jianzhong Wu

The so-called Capmix technique for energy extraction is based on the cyclic expansion of electrical double layers to harvest dissipative energy arising from the salinity difference between freshwater and seawater. Its optimal performance requires a careful selection of the electrical potentials for the charging and discharging processes, which must be matched with the pore characteristics of the electrode materials. While a number of recent studies have examined the effects of the electrode pore size and geometry on the capacitive energy extraction processes, there is little knowledge on how the surface properties of the electrodes affect the thermodynamic efficiency. In this work, we investigate the Capmix processes using the classical density functional theory for a realistic model of electrolyte solutions. The theoretical predictions allow us to identify optimal operation parameters for capacitive energy extraction with porous electrodes of different surface hydrophobicity. In agreement with recent experiments, we find that the thermodynamic efficiency can be much improved by using most hydrophilic electrodes.


Journal of Chemical Physics | 2016

Time-dependent density functional theory for the charging kinetics of electric double layer containing room-temperature ionic liquids

Cheng Lian; Shuangliang Zhao; Honglai Liu; Jianzhong Wu

Understanding the charging kinetics of electric double layers is of fundamental importance for the design and development of novel electrochemical devices such as supercapacitors and field-effect transistors. In this work, we study the dynamic behavior of room-temperature ionic liquids using a classical time-dependent density functional theory that accounts for the molecular excluded volume effects, the electrostatic correlations, and the dispersion forces. While the conventional models predict a monotonic increase of the surface charge with time upon application of an electrode voltage, our results show that dispersion between ions results in a non-monotonic increase of the surface charge with the duration of charging. Furthermore, we investigate the effects of van der Waals attraction between electrode/ionic-liquid interactions on the charging processes.


Molecular Physics | 2017

Impurity effects on ionic-liquid-based supercapacitors

Kun Liu; Cheng Lian; Douglas Henderson; Jianzhong Wu

ABSTRACT Small amounts of an impurity may affect the key properties of an ionic liquid and such effects can be dramatically amplified when the electrolyte is under confinement. Here the classical density functional theory is employed to investigate the impurity effects on the microscopic structure and the performance of ionic-liquid-based electrical double-layer capacitors, also known as supercapacitors. Using a primitive model for ionic species, we study the effects of an impurity on the double layer structure and the integral capacitance of a room temperature ionic liquid in model electrode pores and find that an impurity strongly binding to the surface of a porous electrode can significantly alter the electric double layer structure and dampen the oscillatory dependence of the capacitance with the pore size of the electrode. Meanwhile, a strong affinity of the impurity with the ionic species affects the dependence of the integral capacitance on the pore size. Up to 30% increase in the integral capacitance can be achieved even at a very low impurity bulk concentration. By comparing with an ionic liquid mixture containing modified ionic species, we find that the cooperative effect of the bounded impurities is mainly responsible for the significant enhancement of the supercapacitor performance.


ACS energy letters | 2016

Enhancing the Capacitive Performance of Electric Double-Layer Capacitors with Ionic Liquid Mixtures

Cheng Lian; Kun Liu; K. L. Van Aken; Yury Gogotsi; David J. Wesolowski; Hongjun Liu; De-en Jiang; Jianzhong Wu


Journal of Physical Chemistry C | 2016

A Generic Model for Electric Double Layers in Porous Electrodes

Cheng Lian; De-en Jiang; Honglai Liu; Jianzhong Wu


Physical Chemistry Chemical Physics | 2017

Non-scaling behavior of electroosmotic flow in voltage-gated nanopores

Cheng Lian; Alejandro Gallegos; Honglai Liu; Jianzhong Wu


Journal of Physical Chemistry C | 2017

Impurity Effects on Charging Mechanism and Energy Storage of Nanoporous Supercapacitors

Cheng Lian; Kun Liu; Honglai Liu; Jianzhong Wu


Journal of Physical Chemistry C | 2017

Capacitive Energy Extraction by Few-Layer Graphene Electrodes

Cheng Lian; Cheng Zhan; De-en Jiang; Honglai Liu; Jianzhong Wu

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Jianzhong Wu

University of California

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Honglai Liu

East China University of Science and Technology

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De-en Jiang

University of California

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Kun Liu

University of California

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Cheng Zhan

University of California

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David J. Wesolowski

Oak Ridge National Laboratory

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Benzhuo Lu

Chinese Academy of Sciences

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Haiping Su

East China University of Science and Technology

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Shuangliang Zhao

East China University of Science and Technology

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