9 citations · 15 across the 7 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cond-mat.mtrl-sci2024
SpinMultiNet: Neural Network Potential Incorporating Spin Degrees of Freedom with Multi-Task Learning
Koki Ueno, Satoru Ohuchi, Kazuhide Ichikawa +2
Neural Network Potentials (NNPs) have attracted significant attention as a method for accelerating density functional theory (DFT) calculations. However, conventional NNP models ty…
cond-mat.mtrl-sci2024★ 1 cited
Designing Superionic Conductors Using Tetrahedrally Packed Structures
Tomoyasu Yokoyama, Kazuhide Ichikawa, Takuya Naruse +2
In the pursuit of advanced energy storage solutions, the crystal structure of ionic conductors plays a pivotal role in facilitating ion transport. The conventional structural desig…