15 citations · 15 across the 7 of their papers we have counts for
7 papers
Breaking the Sabatier Principle by Dynamic Adsorption-Desorption Decoupling in Electrocatalytic Hydrogen Evolution
Zi-Xuan Yang, Lei Li, Tao Huang +5
The Sabatier principle establishes a fundamental trade-off in heterogeneous electrocatalysis.In the hydrogen evolution reaction (HER), this trade-off is manifested by the coupling…
Active-Spin-State-Derived Descriptor for Hydrogen Evolution Reaction Catalysis
Yu Tan, Lei Li, Zi-Xuan Yang +7
Spin states are pivotal in modulating the electrocatalytic activity of transition-metal (TM)-based compounds, yet quantitatively evaluating the activity-spin state correlation rema…
Electronic origin of stability of 2D 1H-phase Janus transition metal dichalcogenides and beyond
Lei Li, Ji-Chun Lian, Zi-Xuan Yang +8
Janus transition metal dichalcogenides (JTMDs) monolayers have emerged as a new paradigm to broaden the family of two-dimensional (2D) materials. Despite numerous theoretical predi…
Doping-free Janus homojunction solar cell with efficiency exceeding 23%
Lei Li, Zi-Xuan Yang, Tao Huang +6
Photovoltaic solar cell is one of the main renewable energy sources, and its power conversion efficiency (PCE) is improved by employing doping or heterojunction to reduce the photo…
Symmetry-breaking-induced giant Stark effect in 2D Janus materials
Jiang-Yu Lu, Wu-Yu Chen, Lei Li +6
Symmetry breaking generally induce exotic physical properties, particularly for low-dimensional materials. Herein we demonstrate that symmetry breaking induces a giant Stark effect…
Correlation between spin state and activity for hydrogen evolution
Tao Zhang, Lei Li, Tao Huang +6
Spin plays a key role in physical and chemical reactions, such as oxygen evolution and hydrogen evolution reactions (OER/HER); but the spin-activity correlation has remained unclea…
Geometry-enhanced graph neural network for learning the smoothness of glassy dynamics from static structure
Xiao Jiang, Zean Tian, Kenli Li
Understanding the dynamic processes of the glassy system continues to be challenging. Recent advances have shown the power of graph neural networks (GNNs) for determining the corre…