4 papers
Machine Learning Relationships between Nanoporous Structures and Electrochemical Performance in MOF Supercapacitors
Zhenxiang Wang, Taizheng Wu, Liang Zeng +4
The development of supercapacitors is impeded by the unclear relationships between nanoporous electrode structures and electrochemical performance, primarily due to challenges in d…
Organic solvent boosts charge storage and charging dynamics of conductive MOF supercapacitors
Ming Chen, Taizheng Wu, Liang Niu +7
Conductive metal-organic frameworks (c-MOFs) and ionic liquids (ILs) have emerged as auspicious combinations for high-performance supercapacitors. However, the nanoconfinement from…
Moment-Tensor-Based Constant-Potential Modeling of Electrical Double Layers
Zhenxiang Wang, Ming Chen, Jiedu Wu +7
Constant-potential molecular dynamics (MD) simulations are indispensable for understanding the capacitance, structure, and dynamics of electrical double layers (EDLs) at the atomis…
Symmetrizing cathode-anode response to speed up charging of nanoporous supercapacitors
Tangming Mo, Liang Zeng, Zhenxiang Wang +2
Asymmetric behaviors of capacitance and charging dynamics in the cathode and anode are general for nanoporous supercapacitors. Understanding this behavior is essential for the opti…