5 citations · 5 across the 2 of their papers we have counts for
2 papers
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-sci2023★ 5 cited
Accelerating Optimal Elemental Configuration Search in Crystal using Ising Machine
Kazuhide Ichikawa, Satoru Ohuchi, Koki Ueno +1
This research demonstrates that Ising machines can effectively solve optimal elemental configuration searches in crystals, with Au-Cu alloys serving as an example. The energy funct…