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Band gap and band alignment prediction of nitride-based semiconductors using machine learning

机译：基于机器学习的氮化物基半导体的带隙和带对准预测

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Yang Huang; Changyou Yu; Weiguang Chen; Yuhuai Liu; Chong Li; Chunyao Niu; Fei Wang; Yu Jia;
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1. Band gap and band alignment prediction of nitride-based semiconductors using machine learning [J] . Huang Yang, Yu Changyou, Chen Weiguang, Journal of Materials Chemistry, C. materials for optical and electronic devices . 2019,第11期

机译：基于机器学习的氮化物基半导体的带隙和带对准预测
2. Fundamental band gap and alignment of two-dimensional semiconductors explored by machine learning [J] . Zhen Zhu, Baojuan Dong, Huaihong Guo, 中国物理：英文版 . 2020,第004期

机译：机器学习探索二维半导体的基本带隙和对准
3. Machine-Learning-Assisted Accurate Band Gap Predictions of Functionalized MXene [J] . Rajan Arunkumar Chitteth, Mishra Avanish, Satsangi Swanti, Chemistry of Materials: A Publication of the American Chemistry Society . 2018,第12期

机译：机器学习辅助官能化MXENE的准确频带差距预测
4. Strong Structure Band Gap Relation in Semiconductors: Implications for Computational Band Gap Prediction [C] . David H. Foster, Guenter Schneider Materials Research Society Meeting . 2014

机译：半导体中强的结构带隙关系：计算带隙预测的影响
5. Study of Wide-Band Gap Oxide and Nitride-Based Semiconductors: Characterization and Device Physics [D] . Sarkar, Ketaki. 2018

机译：宽带间隙氧化物和氮化物基半导体的研究：表征和装置物理学
6. Accurate Band Gap Predictions of Semiconductors inthe Framework of the Similarity Transformed Equation of Motion CoupledCluster Theory [O] . Anneke Dittmer, Róbert Izsák, Frank Neese, -1

机译：半导体中带隙的准确预测运动耦合相似变换方程的框架聚类理论
7. Ternary mixed-anion semiconductors with tunable band gaps from machine-learning and crystal structure prediction [O] . Maximilian Amsler, Logan Ward, Vinay I. Hegde, 2019

机译：具有可调谐带空隙的三元混合阴离子半导体，从机器学习和晶体结构预测
8. Fine Structure and Energy Spectrum of Exciton in Direct Band Gap Cubic Semiconductors with Degenerate Valence Bands. [R] . Nguyen Toan Thang, T. T., Nguyen, A. V., Nguyen, Q. H. 1987

机译：具有退化价带的直带隙立方半导体中激子的精细结构和能谱。

Band gap and band alignment prediction of nitride-based semiconductors using machine learning

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