CM Seminar: Materials Informatics: the 4th paradigm Abstract

Event Date:
2019-01-10T14:00:00
2019-01-10T15:00:00
Event Location:
BRIM 311, Stewart Blusson Quantum Matter Institute, 2355 East Mall
Speaker:
Hong Guo, Center for the Physics of Materials and Department of Physics, McGill University
Related Upcoming Events:
Condensed Matter Seminars
Event Information:

Materials informatics (MI) may be considered the 4th paradigm of scientific inquiry, in addition to experimental, theoretical and computational approaches. MI is made possible by the universal access to abundant scientific data, assisted by advances in software and machine learning (ML) to analyze the data. For materials problems with specific designing goals, physics-based indicators (or assumptions) are necessary to help narrowing down the informatics search. In this talk I shall present materials discovery by MI + ML, including 2D ferromagnets, solid state electrolytes, molecules for OLED, and possible high Tc superconductors. We conclude that backed by theory and first principles simulation, and eventually by experimental verification, MI + ML is a very efficient approach for materials discovery. Acknowledgements: work in collaboration with Dr. Eric Zhu (NanoacademicTech., Canada), Dr. Yifa Qin (HZWTECH, Shanghai, China), Dr. Zhongli Liu (McGill), Dr. Xianghua Kong (McGill).

Add to Calendar 2019-01-10T14:00:00 2019-01-10T15:00:00 CM Seminar: Materials Informatics: the 4th paradigm Abstract Event Information: Materials informatics (MI) may be considered the 4th paradigm of scientific inquiry, in addition to experimental, theoretical and computational approaches. MI is made possible by the universal access to abundant scientific data, assisted by advances in software and machine learning (ML) to analyze the data. For materials problems with specific designing goals, physics-based indicators (or assumptions) are necessary to help narrowing down the informatics search. In this talk I shall present materials discovery by MI + ML, including 2D ferromagnets, solid state electrolytes, molecules for OLED, and possible high Tc superconductors. We conclude that backed by theory and first principles simulation, and eventually by experimental verification, MI + ML is a very efficient approach for materials discovery. Acknowledgements: work in collaboration with Dr. Eric Zhu (NanoacademicTech., Canada), Dr. Yifa Qin (HZWTECH, Shanghai, China), Dr. Zhongli Liu (McGill), Dr. Xianghua Kong (McGill). Event Location: BRIM 311, Stewart Blusson Quantum Matter Institute, 2355 East Mall