3 papers
cond-mat.mtrl-sci2025
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…
physics.app-ph2024
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…
physics.chem-ph2024
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…