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Rapid Discovery of Gas Response in Materials Via Density Functional Theory and Machine Learning Journal article
Gao, Shasha, Cheng, Yongchao, Chen, Lu, Huang, Sheng. Rapid Discovery of Gas Response in Materials Via Density Functional Theory and Machine Learning[J]. Energy and Environmental Materials, 2024.
Authors:  Gao, Shasha;  Cheng, Yongchao;  Chen, Lu;  Huang, Sheng
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:13.0/14.1 | Submit date：2024/09/03
Density Functional Theory  Gas-sensitive Materials  Machine Learning  
Using a design-based approach to develop a checklist for evaluating preservice teacher learning materials Journal article
Shieh,Jin Jy, Reynolds,Barry Lee, Ha,Xuan Van. Using a design-based approach to develop a checklist for evaluating preservice teacher learning materials[J]. TESOL Journal, 2023, 14(3), 1-20.
Authors:  Shieh,Jin Jy;  Reynolds,Barry Lee;  Ha,Xuan Van
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.3/1.6 | Submit date：2023/08/03
Learning Materials  Design-based Research  Materials Evaluation Checklist  Pre-service Teachers  Teacher Educators  
Collaborative Materials Design: How a School Teacher, a University Researcher, and a Professional Textbook Writer Interact Journal article
Hao Xu, Wei Ren, Shulin Yu. Collaborative Materials Design: How a School Teacher, a University Researcher, and a Professional Textbook Writer Interact[J]. RELC Journal, 2023.
Authors:  Hao Xu;  Wei Ren;  Shulin Yu
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:3.6/3.3 | Submit date：2023/08/03
Collaborative Learning  Language Textbooks  Materials Design  Teacher Interaction  Teaching Materials  
Sustained content language teaching: Insights from an ESL and an EFL course Journal article
Reynolds, B. L., Shieh, J. J., Ding, C., Ha, X.V.. Sustained content language teaching: Insights from an ESL and an EFL course[J]. Profile: Issues in Teachers' Professional Development, 2022, 22(2), 129-154.
Authors:  Reynolds, B. L.;  Shieh, J. J.;  Ding, C.;  Ha, X.V.
Favorite | TC[WOS]:1 TC[Scopus]:3 | Submit date：2022/12/27
Experiential Language Learning  Food  Gastronomy  Learner Engagement  Sustained Content Language Teaching  Thematic Materials  Theme-based Instruction  
Materials structure-property prediction using a self-architecting neural network Journal article
Philip Chen C.L., Cao Y., LeClair S.R.. Materials structure-property prediction using a self-architecting neural network[J]. Journal of Alloys and Compounds, 1998, 279(1), 30-38.
Authors:  Philip Chen C.L.;  Cao Y.;  LeClair S.R.
Favorite | TC[WOS]:15 TC[Scopus]:19 | Submit date：2019/02/11
Materials  Neural Network  Property Prediction  Supervised Learning  Unsupervised Learning