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· 분류 : 외국도서 > 기술공학 > 기술공학 > 재료과학
· ISBN : 9783030683122
· 쪽수 : 228쪽
· 출판일 : 2022-03-29
목차
Chapter 1. Materials Genome Initiatives: Past, Present, and Prospect
Gang Zhang, Institute of High Performance Computing, A*STAR, 138632 Singapore. zhangg@ihpc.a-star.edu.sg
Chapter 2. Introduction of the Machine Learning method
Tian Wang, Hichem Snoussi
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China. Email: wangtian@buaa.edu.cn2. Institute Charles Delaunay-LM2S FRE CNRS 2019, University of Technology of Troyes, Troyes 10030, France. Email: hichem.snouss@utt.fr
Chapter 3. Machine learning for high entropy alloys
Yuan Cheng, Huajian Gao
Institute of High Performance Computing, A*STAR, 138632 Singapore;School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, 70 Nanyang Drive, Singapore 637457, Singapore. huajian.gao@ntu.edu.sg
Chapter 4. Machine learning for biomaterial design
Markus J. Buehler, Laboratory for Atomistic and Molecular Mechanics (LAMM), Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 1-290, Cambridge, Massachusetts 02139, USA. Email: mbuehler@MIT.EDU
Chapter 5. Rapid Photovoltaic Device Characterization through AI technology
Tonio Buonassisi, MIT. Email: BUONASSISI@MIT.EDU
Chapter 6. Machine learning for thermal contact design
Junichiro Shiomi, The University of Tokyo, Japan. shiomi@photon.t.u?tokyo.ac.jp
Chapter 7. Discovery of new thermoelectric material through high-throughput calculation
Wenqing Zhang, Southern University of Science and Technology, China. zhangwq@sustc.edu.cn
Chapter 8. Machine learning for high heat conductive material
Eric S. Toberer, Colorado School of Mines, USA. E-mail: etoberer@mines.edu
Chapter 9. Machine learning assisted discovery of new 2D Materials
Huafeng Dong, Guangdong University of Technology, China. Email: hfdong@gdut.edu.cn.
Chapter 10. Interatomic Potentials developed through Machine Learning
Lin-Wang Wang, Lawrence Berkeley National Laboratory, Berkeley, USA. Email: lwwang@lbl.gov
Chapter 11. Discovery of new Compounds
Arthur Mar, Department of Chemistry, University of Alberta, Canada. E-mail: amar@ualberta.ca.
Chapter 12. Defect Dynamics Probed by Using Machine Learning and Experiment.
Anja Aarva, Aalto University, 02150 Espoo, Finland. E-mail: anja.aarva@aalto.fi.
Chapter 13. Machine-Learning Analysis to Predict electronic properties
Xi Zhu, The Chinese University of Hong Kong, E-mail: zhuxi@cuhk.edu.cn.
Chapter 14. Machine-Learning Analysis to Predict spin properties
Dmitry V. Krasnikov, Skolkovo Institute of Science and Technology, Russian Federation. E-mail: d.krasnikov@skoltech.ru.
Chapter 15. Determination of Material and Structural Parameters using Two-way Neural Network
Xu Han, School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, China. E-mail: xhan@hebut.edu.cn
