15 citations · 17 across the 5 of their papers we have counts for
5 papers
Learning Thermoelectric Transport from Crystal Structures via Multiscale Graph Neural Network
Yuxuan Zeng, Wei Cao, Yijing Zuo +7
Graph neural networks (GNNs) are designed to extract latent patterns from graph-structured data, making them particularly well suited for crystal representation learning. Here, we…
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…
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…
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…
Structural disorder-induced topological phase transitions in quasicrystals
Tan Peng, Yong-Chen Xiong, Chun-Bo Hua +8
Recently, the structural disorder-induced topological phase transitions in periodic systems have attracted much attention. However, in aperiodic systems such as quasicrystalline sy…