Data-Driven Exploration of NaXTe2 (X=Al, Ga, In): From High-Throughput Screening to Tailored Optoelectronic Functionalities
The rational design of semiconductor materials with tunable properties for targeted optoelectronic applications remains a significant challenge, particularly in moving beyond traditional paradigms limited by d-electron localization and instability. To...
Authors
- Chunlian Xiong
- Weijun Wang
- Wenkang Yu
- Gang Liu
- Zhengjun Wang
- Jinkang Yu
- XiaoNing Guan
- Yue Cheng
- Pengfei Lu
- Chunling Zhang
- Xunzhe Zhang
- Changcheng Chen
- Xinhui Zhang
- Jiangzhou Xie
- Yaxin Xu
Publication Details
- Journal
- Journal of Materials Chemistry C
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1039/d6tc00455e
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00