Machine-learning-accelerated mechanistic exploration of interface modification in lithium metal anode
Abstract Although the electrode-electrolyte interface is a crucial electrochemical region, the comprehensive understanding of interface reactions is limited by the time and space scales of experimental tools. Theoretical simulations with this delicate interface also remain one of the most significan...
Saved in:
| Main Authors: | Genming Lai, Ruiqi Zhang, Chi Fang, Juntao Zhao, Taowen Chen, Yunxing Zuo, Bo Xu, Jiaxin Zheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-025-01747-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unraveling charge effects on interface reactions and dendrite growth in lithium metal anode
by: Genming Lai, et al.
Published: (2025-05-01) -
Double three-dimensional structures enabled spherical lithium deposition for advanced lithium metal anode
by: Tao Wei, et al.
Published: (2025-04-01) -
Tailoring the Solid Electrolyte Interphase Composition on Lithium Metal Anodes by the Choice of Ionic Liquid during Mechanochemical Modification
by: Julia Wellmann, et al.
Published: (2025-06-01) -
Exploring semisolid liquid metal anode for lithium-ion battery
by: Pisong Cui, et al.
Published: (2025-01-01) -
Origins of lithium inventory reversibility with an alloying functional layer in anode-free lithium metal batteries
by: Lennart Wichmann, et al.
Published: (2025-08-01)