3 papers
cond-mat.mtrl-sci2025
InvDesFlow-AL: active learning-based workflow for inverse design of functional materials
Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao +2
Developing inverse design methods for functional materials with specific properties is critical to advancing fields like renewable energy, catalysis, energy storage, and carbon cap…
cs.AI2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun +1
Increased training parameters have enabled large pre-trained models to excel in various downstream tasks. Nevertheless, the extensive computational requirements associated with the…
cond-mat.mtrl-sci2024
Extremely strong spin-orbit coupling effect in light-element altermagnetic materials
Shuai Qu, Zhen-Feng Ouyang, Ze-Feng Gao +4
Spin-orbit coupling is a key to realize many novel physical effects in condensed matter physics. Altermagnetic materials possess the duality of real-space antiferromagnetism and re…