Accelerating the Discovery of Materials with Expected Thermal Conductivity via a Synergistic Strategy of DFT and Interpretable Deep Learning
Preprint version is availabel on arXiv.
Published version is open-accessed here.
@article{Zeng_2025,
doi = {10.1088/2752-5724/ae08d0},
url = {https://doi.org/10.1088/2752-5724/ae08d0},
year = {2025},
month = {oct},
publisher = {IOP Publishing},
volume = {4},
number = {4},
pages = {045602},
author = {Zeng, Yuxuan and Cao, Wei and Zuo, Yijing and Peng, Tan and Hou, Yue and Miao, Ling and Wang, Ziyu and Shi, Jing},
title = {Accelerating the discovery of materials with expected thermal conductivity via a synergistic strategy of DFT and interpretable deep learning},
journal = {Materials Futures}