From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning
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DOI: 10.1038/s41467-024-49686-z
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- Yuan Liu & Xidong Duan & Hyeon-Jin Shin & Seongjun Park & Yu Huang & Xiangfeng Duan, 2021. "Promises and prospects of two-dimensional transistors," Nature, Nature, vol. 591(7848), pages 43-53, March.
- Jingsi Qiao & Xianghua Kong & Zhi-Xin Hu & Feng Yang & Wei Ji, 2014. "High-mobility transport anisotropy and linear dichroism in few-layer black phosphorus," Nature Communications, Nature, vol. 5(1), pages 1-7, December.
- Shuaihua Lu & Qionghua Zhou & Yixin Ouyang & Yilv Guo & Qiang Li & Jinlan Wang, 2018. "Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
- Vishu Gupta & Kamal Choudhary & Francesca Tavazza & Carelyn Campbell & Wei-keng Liao & Alok Choudhary & Ankit Agrawal, 2021. "Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
- Dipendra Jha & Kamal Choudhary & Francesca Tavazza & Wei-keng Liao & Alok Choudhary & Carelyn Campbell & Ankit Agrawal, 2019. "Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
- Keith T. Butler & Daniel W. Davies & Hugh Cartwright & Olexandr Isayev & Aron Walsh, 2018. "Machine learning for molecular and materials science," Nature, Nature, vol. 559(7715), pages 547-555, July.
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