2 papers
cond-mat.mtrl-sci2026
KappaFormer: Physics-aware Transformer for lattice thermal conductivity via cross-domain transfer learning
Mengfan Wu, Junfu Tan, Yu Zhu +1
Machine learning has been widely used for predicting material properties. However, efficient prediction of lattice thermal conductivity () remains a long-standing ch…
cond-mat.mtrl-sci2025
Hierarchy-Boosted Funnel Learning for Identifying Semiconductors with Ultralow Lattice Thermal Conductivity
Mengfan Wu, Shenshen Yan, Jie Ren
Data-driven machine learning (ML) has demonstrated tremendous potential in material property predictions. However, the scarcity of materials data with costly property labels in the…