Linfeng Fan

most citedInverse Design of Promising Alloys for Electrocatalytic CO

_{2}

Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2024★ 1 cited

Inverse Design of Promising Alloys for Electrocatalytic CO $_{2}$ Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm

Zhilong Song, Linfeng Fan, Shuaihua Lu +3

Directly generating material structures with optimal properties is a long-standing goal in material design. One of the fundamental challenges lies in how to overcome the limitation…

Inverse Design of Promising Alloys for Electrocatalytic CO2​ Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm

Inverse Design of Promising Alloys for Electrocatalytic CO $_{2}$ Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm