3 papers
cond-mat.mtrl-sci2025
Accelerating Multi-Objective Collaborative Optimization of Doped Thermoelectric Materials via Artificial Intelligence
Yuxuan Zeng, Wenhao Xie, Wei Cao +4
The thermoelectric performance of materials exhibits complex nonlinear dependencies on both elemental types and their proportions, rendering traditional trial-and-error approaches…
cond-mat.mes-hall2024
Non-Hermitian quasicrystalline topological insulators
Xiaolu Zhu, Tan Peng, Fang Lyu +4
In recent years, the interplay between non-Hermiticity and band topology is expected to uncover numerous novel physical phenomena. However, the majority of research has focused on…
cond-mat.mtrl-sci2024
Accelerating the Discovery of Materials with Expected Thermal Conductivity via a Synergistic Strategy of DFT and Interpretable Deep Learning
Yuxuan Zeng, Wei Cao, Yijing Zuo +5
Lattice thermal conductivity (LTC) is a critical parameter for thermal transport properties, playing a pivotal role in advancing thermoelectric materials and thermal management tec…