Single-atom catalysts: advances and challenges in metal-support interactions for enhanced electrocatalysis
Y Mu, T Wang, J Zhang, C Meng, Y Zhang… - Electrochemical Energy …, 2022 - Springer
Abstract Single-atom catalysts (SACs), which contain a single metal atom supported on a
well-confined substrate, are among the most promising heterogeneous catalysts owing to …
well-confined substrate, are among the most promising heterogeneous catalysts owing to …
Theory-guided electrocatalyst engineering: From mechanism analysis to structural design
M Zhang, K Zhang, X Ai, X Liang, Q Zhang… - Chinese Journal of …, 2022 - Elsevier
The exploitation of competent electrocatalysts is a key issue of the broad application of many
promising electrochemical processes, including the hydrogen evolution reaction (HER), the …
promising electrochemical processes, including the hydrogen evolution reaction (HER), the …
Immobilizing nZVI particles on MBenes to enhance the removal of U (VI) and Cr (VI) by adsorption-reduction synergistic effect
F Liu, Y Lou, F ** easily accessible descriptors is crucial but challenging to rationally design
single‐atom catalysts (SACs). This paper describes a simple and interpretable activity …
single‐atom catalysts (SACs). This paper describes a simple and interpretable activity …
A rising 2D star: novel MBenes with excellent performance in energy conversion and storage
T Xu, Y Wang, Z **ong, Y Wang, Y Zhou, X Li - Nano-Micro Letters, 2023 - Springer
As a flourishing member of the two-dimensional (2D) nanomaterial family, MXenes have
shown great potential in various research areas. In recent years, the continued growth of …
shown great potential in various research areas. In recent years, the continued growth of …
Machine learning for design principles for single atom catalysts towards electrochemical reactions
Machine learning (ML) integrated density functional theory (DFT) calculations have recently
been used to accelerate the design and discovery of heterogeneous catalysts such as single …
been used to accelerate the design and discovery of heterogeneous catalysts such as single …
From prediction to design: recent advances in machine learning for the study of 2D materials
H He, Y Wang, Y Qi, Z Xu, Y Li, Y Wang - Nano Energy, 2023 - Elsevier
Although data-driven approaches have made significant strides in various scientific fields,
there has been a lack of systematic summaries and discussions on their application in 2D …
there has been a lack of systematic summaries and discussions on their application in 2D …
Rational design of atomic site catalysts for electrocatalytic nitrogen reduction reaction: One step closer to optimum activity and selectivity
The electrocatalytic nitrogen reduction reaction (NRR) has been one of the most intriguing
catalytic reactions in recent years, providing an energy-saving and environmentally friendly …
catalytic reactions in recent years, providing an energy-saving and environmentally friendly …
High-throughput screening of efficient biatom catalysts based on monolayer carbon nitride for the nitric oxide reduction reaction
Exploring efficient catalysts for the nitric oxide reduction reaction (NORR) toward NH3
synthesis is becoming increasingly important for tackling both NH3 synthesis and NO …
synthesis is becoming increasingly important for tackling both NH3 synthesis and NO …