Yin, Zongyou - The Australian National University

个人简介

Zongyou obtained his B.S. and M.S. degrees at Jilin University in China, and completed his Ph.D. at Nanyang Technological University (NTU) in Singapore in 2008. Then, he worked as the Research Fellow with Professor Hua Zhang at NTU followed by the Scientist II at the Institute of Materials Research and Engineering (IMRE), A*STAR in Singapore. At the beginning of 2014, Zongyou moved to the Massachusetts Institute of Technology (MIT), Cambridge, USA; he was a Postdoctoral Associate and subsequently promoted to the Research Scientist working with Professor Ju Li (http://li.mit.edu/) and Professor Jesus A del Alamo (http://www-mtl.mit.edu/~alamo/). During 2014 - 2015, Zongyou also visited and worked with Professor Daniel G. Nocera (http://chemistry.harvard.edu/people/daniel-g-nocera) for one year at Harvard University, Cambridge, USA. Zongyou joined the RSC at ANU in 2017 to build up his own Materials Science and Applications Laboratory. Zongyou’s research is interdisciplinary, encompassing AI-driven materials innovations, nano-to-atomic materials science, fundamental relationship among materials-structures-devices, and synergistic integration of multi-functions towards systems for energy conversion&storage, body-wearables and (opto)electronics. (http://chemistry.anu.edu.au/research/groups/materials-science-and-engineering). Dr Yin has been honored as one of The World’s Most Influential Scientific Minds - Highly Cited Researchers every year since 2015.

研究领域

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The Materials Science and Applications group is interested in data-driven AI-assisted synthesis & understanding of nano-to-atomic materials & structures, applications development for sustainable functional devices, and rational advancement towards multi-functions integrated systems. Data-driven machine/deep-learning aided design and high throughput synthesis of customized nano-to-atomic materials with manipulating their components, morphologies, phases, facets, defects, plasmonics, ferroelectrics and strain, etc. Understanding of the correlation between above structures, behavior patterns (e.g. photon absorption, exciton generation, charge separation & transport, ion diffusion, gas/liquid/solid phase interface behaviors, photo/electro/photoelectro-activity, and plasmon/exciton/polariton interaction, etc.) and functional performance. Local surface activity identification by real-time visualisable high spatial/temporal resolution techniques (microscopies/spectroscopies). Rational development from low-dimensional structures to functional devices for energy conversion&storage, body-wearable health prediction&diagnosis and (opto)electronics, with further integration towards advanced multi-functional systems.